# GitHub Copilot Reviews **Vendor:** GitHub **Category:** [AI Coding Assistants Software](https://www.g2.com/categories/ai-coding-assistants) **Average Rating:** 4.5/5.0 **Total Reviews:** 290 ## About GitHub Copilot GitHub Copilot helps more than 1 million developers and over 20,000 businesses push what’s possible in software development. Based on powerful LLMs, including OpenAI’s GPT models, this AI pair programmer helps developers write code faster and with less work by drawing context from comments and code to suggest individual lines and whole functions instantly. All languages are supported, however the more common a language, the better represented it will be in the training data and the more robust suggestions will be. ## GitHub Copilot Pros & Cons **What users like:** - Users find GitHub Copilot incredibly **easy to use** , enhancing their coding efficiency and boosting confidence during development. (149 reviews) - Users value the **fast and efficient coding assistance** from GitHub Copilot, significantly speeding up development processes. (128 reviews) - Users appreciate the **significant productivity improvements** from GitHub Copilot, enhancing focus on complex coding tasks. (41 reviews) - Users find GitHub Copilot's **problem-solving abilities** exceptional, enhancing code understanding and simplifying complex tasks. (38 reviews) - Users appreciate the **efficiency** of GitHub Copilot, as it significantly speeds up the coding process with context-aware suggestions. (36 reviews) - Time-saving (33 reviews) - Easy Integrations (32 reviews) - Features (30 reviews) - Implementation Ease (24 reviews) - Useful (24 reviews) **What users dislike:** - Users find the **poor coding quality** of GitHub Copilot frustrating, often generating incorrect or inefficient code. (39 reviews) - Users face **poor suggestions** from Copilot, needing adjustments for compatibility and experiencing interruptions during coding. (31 reviews) - Users feel the **subscription charge is high** , making GitHub Copilot less accessible for individuals and small developers. (25 reviews) - Users note that **inaccuracy in suggestions** from GitHub Copilot can hinder development and lead to cautious usage. (19 reviews) - Users note that GitHub Copilot has a tendency to **struggle with context understanding** , leading to inaccuracies in its responses. (14 reviews) - Users experience a **difficult learning** curve with GitHub Copilot, requiring time to adapt to its suggestions effectively. (14 reviews) - Irrelevant Responses (12 reviews) - Prompt Issues (11 reviews) - Hallucinations (9 reviews) - Users feel that GitHub Copilot has **limited features** , lacking the versatility needed for broader integration and use. (9 reviews) ## GitHub Copilot Reviews ### 1. Smooth VS Code Integration and Fast AI Suggestions That Boost Productivity **Rating:** 4.0/5.0 stars **Reviewed by:** Ritesh G. | Cloud Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** May 06, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot has really improved my coding workflow. The UI easily gets integrated with Visual Studio Code feels smooth and easy to use. It gives fast AI code suggestions, help complete functions and save a lot of typing time. Performance is quick, thought sometime suggestions are inaccurate. Overall, it makes learning and coding faster and more productive. **What do you dislike about GitHub Copilot?** I'm currently using the student plan which was giving access to multiple AI models from different model providers (including Anthropic, Google, OpenAI...), but with the latest update to GitHub Copilot they just removed most flagship models and limit access to remaining, which is quite disappointing. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot is already integrated with GitHub and the Visual Studio Code editor, which makes code analysis and debugging easier without leaving the platform. Onboarding Copilot in Visual Studio Code is quite simple and straightforward. “Agent mode” is one of my favorite features because it helps me work with a large codebase more effectively, with faster debugging and smoother addition of new features. It automatically chooses a good approach to generate optimized code, and “Planning mode” helps create a more detailed plan for the codebase and a clearer plan for how to work on it. ### 2. GitHub Copilot: A Smart Coding Partner That Speeds Up Everyday Development **Rating:** 5.0/5.0 stars **Reviewed by:** Pradip G. | Technology Lead, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about GitHub Copilot?** What I like best about GitHub Copilot is how it speeds up everyday coding without feeling intrusive. It suggests code in real time as I type, and many times it correctly understands the context—whether I’m writing a function, API logic, or even test cases. This reduces a lot of repetitive work and lets me focus more on the actual problem rather than boilerplate code. Another thing I appreciate is how well it integrates with editors like Visual Studio Code. The suggestions feel natural, and I don’t have to break my flow to search for syntax or examples. It’s especially helpful when working with new libraries or unfamiliar patterns—it gives a solid starting point which I can refine. It also improves productivity during tight deadlines. Instead of writing everything from scratch, I can quickly generate drafts and then optimise them. Overall, it acts like a smart coding partner that saves time and reduces context switching. **What do you dislike about GitHub Copilot?** What I dislike about GitHub Copilot is that its suggestions are not always reliable. Sometimes it generates code that looks correct at first glance but has logical issues or doesn’t fully match the requirement. You still need to carefully review and test everything, so it’s not something you can blindly trust. Another drawback is context limitation. In large or complex codebases, it doesn’t always understand the full picture and may give suggestions that don’t align with project-specific patterns or architecture. This can lead to inconsistent code if not handled carefully. It can also become a bit repetitive. At times, it keeps suggesting similar patterns even when you’re trying to implement something different, which can be slightly frustrating. Lastly, there are concerns around code quality and dependency. Over-relying on it might reduce deep understanding, especially for junior developers. It’s a helpful assistant, but not a replacement for solid coding skills and design thinking. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot mainly solves the problem of time-consuming and repetitive coding work. In day-to-day development, a lot of effort goes into writing boilerplate code, basic functions, and standard patterns. Copilot reduces this by suggesting ready-to-use code in real time. This benefits me directly because I can complete tasks faster and focus more on logic, architecture, and problem-solving instead of typing everything manually. It also helps with context switching. Normally, I would search documentation or examples for syntax or implementation details. With Copilot, many of these suggestions come instantly inside the editor, which keeps my flow uninterrupted and improves productivity. Another problem it addresses is the learning curve when working with new frameworks or APIs. It gives quick code references and examples, which makes it easier to get started without spending too much time researching. This is especially useful when working across different technologies. From a business perspective, it helps in faster delivery and improved efficiency. Teams can produce code quicker, reduce development time, and handle more tasks within the same timeline. It also helps in maintaining consistency in common coding patterns, which can improve overall code quality when used properly. Overall, it acts as a productivity booster—saving time, reducing repetitive effort, and helping deliver work faster without compromising too much on quality (as long as the code is properly reviewed). ### 3. Review **Rating:** 4.5/5.0 stars **Reviewed by:** Dimanso P. | Desarrollador de Automatizaciones, Small-Business (50 or fewer emp.) **Reviewed Date:** April 30, 2026 ### 4. Automates Code Fixes, Dependencies, and End-to-End Project Runs **Rating:** 4.0/5.0 stars **Reviewed by:** Gaurav C. | Freelancer with team, Small-Business (50 or fewer emp.) **Reviewed Date:** April 29, 2026 **What do you like best about GitHub Copilot?** It automatically corrected code ,installs requirements .txt file ,run python commands parallely as well as sequentially .also run commands in a virtual env if possible.it is very beneficial for coders have tons of files made and they donnot want to dig in for errors finding.just ask to GitHub copilot chat and it will make that sorted for you.Also it helps in running the total project from scratch from installing dependencies to testing project on corner test cases. **What do you dislike about GitHub Copilot?** Many a times when it don't find solution it not stops ,instead it go on a infinite loop checking the same condition again and again and hence wastage of cpu cycles and resources happen.also manyatimes it do not take user responses as they are said for.it automatically starts its computation if the user is simply asking to show file . **What problems is GitHub Copilot solving and how is that benefiting you?** Debugging errors in tricky corner and edge cases, building a project from scratch, and installing the required dependencies can be difficult. If I’m unaware of a feature that could be used, GitHub Copilot points it out and suggests adding it to speed up the process. It feels like a helping hand for programmers, and it benefits me by acting as an assistant whenever I’m working on a project in VS Code.I used GitHub Copilot while developing an AI-based project during my college coursework, where I built a system for detecting AI-generated vs human-written content. The project involved working with Python, machine learning libraries, and model integration. I integrated Copilot into my development workflow in VS Code, where it helped generate code snippets, suggest improvements, and speed up writing functions and dependencies. It was particularly useful in handling repetitive coding tasks and improving productivity while working on a structured project. My usage closely resembled real-world development practices, including managing dependencies, debugging, and iterating on code. ### 5. Massive Productivity Boost with Contextual Autocomplete and IDE Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Ar. Smriti S. | Junior Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** April 10, 2026 **What do you like best about GitHub Copilot?** Contextual Autocomplete: It suggests entire blocks of code, functions, and tests by analyzing your current file and open tabs. Boilerplate Reduction: It handles repetitive tasks like writing unit tests, regex, or standard API calls, allowing you to focus on logic. Natural Language to Code: You can write a comment describing what you want (e.g., // function to validate email using regex), and it will generate the implementation. Multi-language Support: It works across dozens of languages including Python, JavaScript, TypeScript, Ruby, Go, and Java. IDE Integration: It lives directly inside popular editors like VS Code, JetBrains, and Neovim, so there is no need to switch windows. **What do you dislike about GitHub Copilot?** 1. Inaccuracy and "Hallucinations" Code Quality: It often suggests code that is inefficient, outdated, or uses libraries that don't actually exist (hallucinations). Bugs: It can generate syntactically correct code that contains subtle logical errors, requiring you to spend more time debugging than if you had written it yourself. 2. Context Limitations Large Projects: It sometimes "forgets" logic established earlier in a file or fails to understand the broader architecture of a complex project. Proprietary Logic: It struggles with custom frameworks or internal business logic that wasn't part of its public training data. 3. Privacy and Security Data Training: Many users are concerned about their code being sent to GitHub's servers to train future models. As of early 2026, some users have expressed frustration over "automatic opt-in" policies for data collection. Vulnerabilities: There is a risk that the AI might suggest patterns that include known security vulnerabilities (like SQL injection) if they were prevalent in its training set. **What problems is GitHub Copilot solving and how is that benefiting you?** Problems Solved Repetitive Coding: Automates boilerplate code and routine tasks (like unit tests). Documentation Fatigue: Reduces the need to leave your IDE to look up syntax or library usage. Implementation Speed: Overcomes the "blank page" problem by generating initial drafts of functions instantly. Core Benefits Increased Productivity: You spend less time on "busy work" and more on design and logic. Lower Barrier to Entry: Makes it easier to work in unfamiliar languages or explore new technical workflows. Enhanced Focus: By keeping you within your workspace, it helps maintain "flow" and reduces mental burnout. ### 6. Seamless VS Code Integration with Fast, Reliable Suggestions **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit T. | Quality Assurance Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about GitHub Copilot?** Copilot fits seamlessly into VS Code with fast, reliable suggestions that keep my flow uninterrupted, even on larger tasks. It saves time on repetitive work, making it worth the cost. Setup is quick, and getting started feels effortless with minimal learning curve. I also like that it gives access to multiple AI models. **What do you dislike about GitHub Copilot?** One downside of GitHub Copilot is that it sometimes feels a bit slower as compared to Cursor, especially when working on larger or multi-file changes. But Copilot is much cheaper (around $10/month vs $20 for Cursor), and for day-to-day coding, it still covers most needs really well. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot mainly helps reduce the time I spend on repetitive coding and constant context switching. Rather than writing boilerplate from scratch or pausing to search for syntax and examples, it suggests code directly while I’m working. For me, the biggest benefit is maintaining speed and staying in a good flow. ### 7. GitHub Copilot Supercharges Development with Smart, Real-Time Code Suggestions **Rating:** 5.0/5.0 stars **Reviewed by:** Sourabh K. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 14, 2026 **What do you like best about GitHub Copilot?** What I like best about GitHub Copilot is how it significantly speeds up development by providing real-time code suggestions and auto-completions. It helps reduce repetitive coding tasks, generates boilerplate code quickly, and even suggests entire functions based on context. This allows me to focus more on problem-solving and logic rather than syntax. I also appreciate how it adapts to my coding style over time and supports multiple languages, making it a valuable productivity booster in day-to-day development. **What do you dislike about GitHub Copilot?** One downside of GitHub Copilot is that its suggestions are not always accurate or optimal, especially for complex logic or edge cases, so you still need to carefully review and validate the code. It can sometimes generate outdated or inefficient patterns, which may lead to technical debt if used blindly. Another limitation is that it may not fully understand the broader context of a large application, resulting in irrelevant or incomplete suggestions. Additionally, over-reliance on it can reduce hands-on problem-solving and learning for developers, particularly for those still building strong fundamentals. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot solves several common development challenges and directly improves productivity and efficiency. It reduces time spent on repetitive tasks like writing boilerplate code, basic CRUD operations, and standard functions. This helps me focus more on business logic and complex problem-solving rather than routine coding. It also addresses the issue of context switching. Instead of constantly searching documentation or Stack Overflow, I get inline suggestions, which keeps me in the development flow and speeds up delivery. Another problem it solves is faster learning and exploration. When working with new libraries or frameworks, it suggests usage patterns and examples in real time, helping me understand and implement features more quickly. Overall, this benefits me by improving development speed, reducing manual effort, and allowing me to deliver features faster while maintaining a smoother coding experience. ### 8. Speeds Up Development with Smart Autocomplete and Accurate Code Generation **Rating:** 5.0/5.0 stars **Reviewed by:** Prashant K. | Security Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about GitHub Copilot?** It speeds up development with intelligent autocomplete and code generation. By analyzing your current file and open tabs and using that context in its prompts, it can better help understand the relevant logic and provide more accurate code completions wrt to that **What do you dislike about GitHub Copilot?** Because it’s model-specific, it ends up consuming more tokens, which limits the overall user experience. Want something solid about token control to optimize the token usage accordingly. **What problems is GitHub Copilot solving and how is that benefiting you?** It improves the overall experience of code completion and bug resolution by understanding the IDE and leveraging the proper context to suggest solutions. Additionally, it integrates with Model Context Protocol (MCP)-enabled tools like Jira, ADO, Confluence, and SonarQube, extending its capabilities across multiple platforms. This makes it incredibly helpful for users to gain a comprehensive understanding of the current landscape, including both pros and cons. ### 9. GitHub copilot Speeds Up Coding with Seamless IDE Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Sushriya M. | Solution Delivery Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 08, 2026 **What do you like best about GitHub Copilot?** GitHub copilot is really helpful for speeding up coding and routine tasks. As someone who uses it frequently, I like how it suggests code while I'm typing and helps with small functions, syntax or repetitive parts of the code. The UI feels clean and blends well into tools like VS Code and the integrations with different IDEs make it very convenient to use. It saves time, reduces manual effort and helps maintain a smooth workflow when working on scripts or development tasks. **What do you dislike about GitHub Copilot?** One slight downside of GitHub copilot is that the suggestions are not always accurate so I still need to review and adjust the code instead of relying on it completely. **What problems is GitHub Copilot solving and how is that benefiting you?** This helps solve the problem of time spent on repetitive coding and constant context switching for small queries. It benefits me by speeding up development, reducing manual effort and helping me stay focused without frequently searching for solutions. ### 10. Copilot’s Agentic Evolution Feels Like a Core Part of VS Code **Rating:** 4.5/5.0 stars **Reviewed by:** František K. | Tester - Analyst, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2026 **What do you like best about GitHub Copilot?** Copilot has managed to develop into a fully agentic tool, which is great for agentic coding and development. It’s no longer just an AI assistant, and that completely changes how I can use it day to day. Support for MCP servers, skills, agnets.md, and similar pieces also makes it easier to use alongside other agentic tools. The UI is fairly intuitive, and I like how it’s directly wired into VS Code. It doesn’t feel like “just an extension” anymore; it feels like a core feature of VS Code now. The usage limits are also really generous considering the pricing, especially when you compare them to Claude Code, for example. Copilot clearly wins here for me by a lot. **What do you dislike about GitHub Copilot?** I dislike the data retention policy for Copilot coding agents and Copilot CLI. The retention period is far too long, especially given how much sensitive information is being shared, such as source code. I think they should reconsider this and make changes. It’s not that I don’t trust GitHub, but given the industry I work in, the idea that our data could be stored somewhere for extended periods of time is unacceptable. **What problems is GitHub Copilot solving and how is that benefiting you?** Writing code faster means I can get more work done. With Copilot and the integration options (MCPs), we can create automated tests more quickly, write clearer code documentation, and also generate documentation for end users. Overall, it helps us move faster, and it comes at a small price. ### 11. Always Up to Date: A Full IDE AI Solution That Keeps Evolving **Rating:** 4.5/5.0 stars **Reviewed by:** Mark B. | Application Developer, Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about GitHub Copilot?** It was the first full IDE AI solution we used when AI started rolling out. They’ve done a great job keeping both the UI and the underlying features up to date as the AI landscape has evolved. Instead of letting the feature set stagnate, they’ve continued to incorporate changes like skills, instructions, MCP, and similar updates. **What do you dislike about GitHub Copilot?** Nothing major, aside from a few stability issues that sometimes cause the models to fail. That said, I suspect this is more related to the growing popularity and overwhelming demand for AI than to an actual problem with the product itself. **What problems is GitHub Copilot solving and how is that benefiting you?** We use GitHub Copilot for the majority of our coding, documentation, emails, etc. It has really become a one-stop shop for AI-enabled development. It works well for both mainframe and non-mainframe coding alike. ### 12. A Great AI Assistant for Faster and More Efficient Coding **Rating:** 4.5/5.0 stars **Reviewed by:** Alan R. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 31, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot significantly speeds up development by providing intelligent code suggestions directly in the editor. It’s very effective for reducing repetitive coding tasks, generating boilerplate code, and even suggesting entire functions based on context. The integration with editors like Visual Studio Code is seamless, making it easy to adopt without changing existing workflows. I also like how it adapts to different programming languages and frameworks. It’s especially useful when working with unfamiliar code or trying out new technologies, as it can suggest patterns and examples quickly. Overall, it improves productivity and helps maintain development flow without constant context switching. **What do you dislike about GitHub Copilot?** While Copilot is very helpful, the suggestions are not always accurate and still require review. For more complex or critical logic, it’s important to validate the generated code carefully. Sometimes it can suggest outdated or suboptimal patterns. Additionally, over-reliance on suggestions can reduce deeper understanding if not used thoughtfully. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps reduce time spent on repetitive coding tasks and searching for examples. It provides instant suggestions and code snippets, allowing developers to focus more on logic and problem-solving rather than boilerplate implementation. This speeds up development cycles and makes it easier to work across different languages and frameworks. It also helps onboard developers faster by providing contextual guidance directly in the editor. ### 13. Real-Time AI Code Suggestions That Supercharge Development **Rating:** 5.0/5.0 stars **Reviewed by:** Gaurab R. | System Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about GitHub Copilot?** It is helpful for speeding up the development by providing real time code suggestions, auto completing functions and even can build complete production level website with its AI intelligence. It improves productivity with its debugging capabilities also. **What do you dislike about GitHub Copilot?** Its not guaranteed that the generated code is always correct and optimized so developers still need to review code and test it. Some ai suggestions can sometimes be irrelevant and also the ai models need pro plan pricing for most effective use. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps to solve problems related to development speed and productivity. Its Ai integration and copilot chat support to new and latest models like Claude opus 4.7 which helps to deliver project faster. It has great user interface which helps to integrate more AI tools and latest technology. ### 14. Good Productivity Tool for Developers **Rating:** 5.0/5.0 stars **Reviewed by:** Subhajeet S. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 20, 2026 **What do you like best about GitHub Copilot?** I like Github Copilot because it reduces the time spent on repetitive coding tasks. I also like that it works smoothly inside VS Code, so I dont have to switch between browser tabs and documentation again .Its very easy to implement for beginners.The frequency of use is also high for me because I use it almost daily while coding.It helps with writing functions,fixing small mistakes and speeding up repetitive tasks which makes development smoother.It is ease of integration with tools like VS Code . **What do you dislike about GitHub Copilot?** One thing I dislike is that sometimes the suggestions look correct but dont fully match the requirement, so you still need to review the code carefully. Another small issue is that getting very specific help through customer support is not always instant , so sometimes you have to rely on documentation. **What problems is GitHub Copilot solving and how is that benefiting you?** Overally it helps me focus more on problem solving instead of spending too much time on basic coding tasks. ### 15. Real-Time, Context-Aware Code Suggestions That Keep Me in Flow **Rating:** 4.5/5.0 stars **Reviewed by:** Praveen M. | Associate Data Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2026 **What do you like best about GitHub Copilot?** What I like best about GItHub Copilot is how it provides real-time code suggestions that fit the context of what I'm working on. It saves a lot of time on repetitive coding and helps maintain flow without switching between tabs. It feels like a helpful assistant built right into the editor. **What do you dislike about GitHub Copilot?** One thing I dislike about GitHub Copilot is that some suggestions can be inaccurate, especially for complex logic or specific use cases. It sometimes requires careful review and adjustments. Improving consistency and understanding of edge cases would make it even better **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps reduce the time spent writing repetitive code and searching for solutions. It provides instant suggestions, which speeds up development and keeps me focused on the core logic. This improves productivity and makes coding more efficient overall. ### 16. GitHub Copilot Speeds Up Development with Smart, Real-Time Code Suggestions **Rating:** 4.5/5.0 stars **Reviewed by:** Ritik J. | Software Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot regularly during backend development, mainly inside Visual Studio Code. One of the things I like most is how easy it is to start using. After installing the extension and signing in, it immediately begins suggesting code while you type, so there isn’t much setup required. During my day-to-day work with Python APIs, Copilot helps by suggesting function structures, repetitive code, and common programming patterns. It is especially useful when writing helper functions, validation logic, or basic API endpoints. Instead of searching for syntax or examples online, I often get a useful starting point directly in the editor. Another advantage is how well it integrates with the existing development workflow. Since I already work in VS Code with Git for version control, Copilot feels like a natural extension of the editor rather than a separate tool. I use it frequently while coding, and it helps maintain development flow and saves time on routine coding tasks. **What do you dislike about GitHub Copilot?** While Copilot is very helpful, the suggestions are not always perfect, especially for complex or project-specific logic. Sometimes the generated code needs to be adjusted to match the project’s structure or coding style. Another thing to keep in mind is that developers still need to carefully review the suggested code before using it. I treat Copilot more as a coding assistant that helps speed up development rather than something that can fully replace manual coding. Even with that limitation, it is still very useful for reducing repetitive work. **What problems is GitHub Copilot solving and how is that benefiting you?** In my work, Copilot helps reduce the time spent writing repetitive code and basic implementations. When developing backend services or APIs, it can quickly generate function templates, loops, or simple logic based on the context of the code. This allows me to focus more on solving the actual problem instead of spending time writing routine code. It also helps maintain momentum during development because I don’t have to frequently search for syntax or examples. Overall, it improves productivity and makes everyday coding tasks more efficient. ### 17. Reduce you workload with GitHub Copilot. **Rating:** 4.0/5.0 stars **Reviewed by:** Hem G. | Backend Developer , Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** March 25, 2024 **What do you like best about GitHub Copilot?** GitHub is a version control system with you can write a code with Team, and manage your code. With GitHub Copilot as their name it is your Copilot which gives you a suggestion for your code. And give you title for your commits. **What do you dislike about GitHub Copilot?** Majority of the time GitHub Copilot gives you best suggestion for your code and title for your commits, but some times it gives you unnecessary title and code which is not useful for you. **What problems is GitHub Copilot solving and how is that benefiting you?** With GitHub Copilot I take less time to complete my coding task. And i write more efficient code with it. Some times when I forget the syntax it is gives me reminder of the syntax which is very usefull. ### 18. Context-Aware, But Needs Better Handling of Specific Tasks **Rating:** 4.0/5.0 stars **Reviewed by:** Palakurthy B. | Associate AI/ML Engineer, Education Management, Mid-Market (51-1000 emp.) **Reviewed Date:** May 14, 2026 **What do you like best about GitHub Copilot?** I really appreciate how GitHub Copilot picks up on context from the rest of the file. It doesn’t just give me general suggestions, but actually follows the pattern I've set if I’ve defined my architectural variable naming conventions up top. This is huge when working on something with a multi-agent pipeline where consistency across functions really matters. **What do you dislike about GitHub Copilot?** It struggles with highly specific internal logic. Like, when I'm working on our own custom data schemas or institution-specific evaluation pipelines, GitHub Copilot has no idea what's going on. Solutions become more of a distraction than a help. I end up dismissing more than accepting in those cases. Also, sometimes it's a bit too eager and completes in a direction I wasn't going. By the time I read the suggestion and reiterate, I've already lost my train of thought. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for context-aware completions while building AI pipelines, ensuring consistency across function naming. It follows my set patterns, which is crucial when working on multi-agent pipelines. ### 19. Supercharges Productivity, Needs Better Complex Logic Support **Rating:** 4.5/5.0 stars **Reviewed by:** Neha K. | Technical Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 13, 2026 **What do you like best about GitHub Copilot?** I like GitHub Copilot for its productivity improvement during day-to-day development. It can automatically generate DTOs, validation methods, login statements, and even unit tests based on naming conventions and comments. This allows developers like me to focus more on system design and complex logic rather than repetitive coding tasks. GitHub Copilot provides more context for our suggestions and offers better support for enterprise frameworks, which makes it more useful during actual development work. **What do you dislike about GitHub Copilot?** The suggestions are not always reliable for complex business logic or highly domain-specific implementations. For example, in enterprise consulting projects with custom frameworks, Copilot sometimes generated outdated patterns or insecure code suggestions that require careful review before use. **What problems is GitHub Copilot solving and how is that benefiting you?** I find GitHub Copilot helps reduce context switching and speeds up coding tasks by generating relevant code suggestions directly, improving developer productivity. It automatically generates DTOs, validation methods, and unit tests, allowing more time for system design and complex logic rather than repetitive tasks. ### 20. Boosts Productivity with Handy Code Suggestions **Rating:** 3.5/5.0 stars **Reviewed by:** VIVEK S. | Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot mainly for code suggestions, debugging help, and speeding up repetitive coding tasks. It helps me generate boilerplate code, write functions faster, and understand APIs while working on projects in languages like Python, JavaScript, and HTML/CSS. Copilot saves time by suggesting optimized code snippets and assisting with documentation comments, especially useful during web development and automation projects, since it improves productivity and reduces manual effort. One of the GitHub Copilot's features I value the most is its real-time code suggestions because they help me complete functions and logic much faster while coding. Copilot Chat is also frequently used for debugging, explaining code, and getting quick solutions without leaving the editor. Automatic boilerplate generation during web development and scripting tasks is another time-saving feature. These features improve productivity, reduce repetitive work, and help me focus more on problem-solving instead of routine coding. **What do you dislike about GitHub Copilot?** While GitHub Copilot is very helpful, there are times when the code suggestions are not fully accurate or optimized for the specific project context. Sometimes it generates repetitive or outdated solutions, so the code still needs careful review and testing. In larger projects, Copilot can occasionally misunderstand the intent of complex logic or existing architecture. Another area for improvement would be better support for highly customized codebases and more precise debugging suggestions. Improving context awareness and reducing irrelevant recommendations would make the experience even better. The initial setup was not too much of an easy task. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for code suggestions, debugging, and speeding up repetitive tasks. It helps generate boilerplate code, write functions faster, and understand APIs. Copilot improves productivity, provides debugging assistance, and minimizes context switching with real-time recommendations. ### 21. Boosted Productivity with Seamless Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Manish C. | Senior Associate Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** May 11, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot for my development work and creating production-ready applications by integrating it into the IntelliJ code editor. It boosts my productivity by reducing boilerplate code and helps me write small blocks of code quickly. I really like how it integrates into my editor, reducing the time needed to provide context since it already has all code access. With it integrated in the code editor, I can directly ask about anything within the editor itself, and it provides a valuable and structured response. Setting it up was easy since the editor supports it; I just logged in with the organization's GitHub account, and it worked. **What do you dislike about GitHub Copilot?** The answers should be concise as I use it in my code editor. I wish it provided interactive solutions, like giving architecture-related answers by clicking on each tile instead of writing everything in one place. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to boost my productivity by reducing boilerplate code and quickly writing small blocks of code in my development work. ### 22. A great AI code generator, deeply integrated with VS Code **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about GitHub Copilot?** I mainly use GitHub Copilot as a code assistant. It helps me with code inline completions and writing code, which saves me a lot of time. I find the deep integration with VS Code very beneficial, especially with its inline suggestions that make coding much easier. It's amazing that it can even write whole custom functions according to my needs. The way it utilizes instructions and provides proper answers is commendable. Additionally, its deep integration with GitHub is very useful as it can write proper CI/CD pipelines for building, testing, and deploying code on GitHub. The initial setup was very easy, which was a bonus. I also like it's auto-pilot mode. **What do you dislike about GitHub Copilot?** It still falls short when solving/writing complex code with a lot of custom conditions. I was using the GitHub Pro with all model support, but recently they reduced some of the models. Now, they have another GitHub Copilot Pro+ plan, which complicates things for developers in choosing suitable plans while getting the most model support. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for code inline completions and writing to save time. It writes repetitive code, suggests backend solutions, quickly writes APIs, and lets me focus more on business logic. ### 23. GitHub Copilot: Seamless VS Code Pair Programmer for Documentation-First Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Cameron H. | Founder, Enterprise (> 1000 emp.) **Reviewed Date:** May 02, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot excels as a strategic pair programmer, particularly within a documentation-first workflow. It’s remarkably effective at polishing technical documentation before a single line of code is written, then leveraging that context to generate highly accurate pattern recommendations. The VS Code integration is seamless, making it easy to manage the context window and keep instructions mapped to the proper memory locations for an uninterrupted flow. Onboarding was frictionless; simply logging into my licensed GitHub account integrated the tool immediately into my existing environment. **What do you dislike about GitHub Copilot?** I’d like a more seamless way to integrate with newer models or offline models, although I understand the security implications of allowing that kind of customization. It would also help to have clearer guidance on setting up the environment to better match my workflow style and methodologies, along with a more direct way to manage the AI’s memory, rules, and guidelines. **What problems is GitHub Copilot solving and how is that benefiting you?** I work with Terraform for Infrastructure as Code, and GitHub Copilot helps me update existing code to newer standards so we can modernize our deployment approach. ### 24. GitHub copilot review for modern AI developers **Rating:** 4.5/5.0 stars **Reviewed by:** Vaheed S. | Associate, Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2026 **What do you like best about GitHub Copilot?** I like smart code auto complete feature and also context aware suggestions. The pr summarization and code review suggestions are also best features. It is very easy to integrate into our vs code ide as well. The UI is very simple and user friendly. **What do you dislike about GitHub Copilot?** Sometimes it generates code which contains security risks and sometimes we see too many unnecessary comments in pr which are too noisy.The main thing I don't like rate limit in paid plan as well. The agent mode takes 20 to 30 percent tokens on unnecessary things like comments etc. **What problems is GitHub Copilot solving and how is that benefiting you?** No more wasting time in writing api codes where we have same pattern in code which can be done using copilot easily, we just need to verify it. No more switching between browser and ide we can directly find and resolve things from ide. We can easily write test cases and test them directly with copilot if any issues it fixes them automatically.It helps in learning new frameworks etc.. ### 25. Boosts Productivity with Powerful Code Suggestions **Rating:** 4.5/5.0 stars **Reviewed by:** Atharva P. | Cloud BI Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot to significantly speed up development by providing real-time code suggestions and reducing repetitive coding efforts. The newer versions have an agent model that does things automatically, reducing turnaround times to deliver features to applications. I appreciate its ability to provide multiple modes of approval, allowing me to bypass approvals for less critical tasks, while ensuring approvals for production-critical work. This flexibility is really good. Another aspect I like is that it allows me to see the reasoning and analysis it performs, which helps me to understand its logic and make corrections if needed. **What do you dislike about GitHub Copilot?** Suggestions are not always accurate and sometimes require validation. It can also generate overly generic or suboptimal code if prompts are not clear. And the token usage is very high if you don't know how to write proper concise prompts. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot improves developer productivity by generating code, suggesting real-time fixes, and reducing repetitive coding, debugging time, and the need to look up syntax. It provides better context for code suggestions, especially for large codebases, and integrates seamlessly with various IDEs. ### 26. Revolutionized Our Coding Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** Mallik c. | Sr. Enterprise Cloud Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about GitHub Copilot?** I think all the features of GitHub Copilot are really wonderful to improve our software development philosophy. I like that it has predictive text awareness, where it understands and reasons through the entire project code to suggest appropriate code automation. I also appreciate its ability to eliminate boilerplate code, like setting up a unit test skeleton and creating various Java or Node.js components. It helps review code for vulnerabilities and supports many programming languages, which is really useful for our team. **What do you dislike about GitHub Copilot?** While GitHub Copilot is a helpful tool for developers, it does have some shortcomings such as architectural and cross-file blindness. Copilot struggles with tasks that span multiple files or involve complex project architecture, which can cause it to lose context. Like other AI tools, it sometimes hallucinates or generates speculative content, suggesting methods or classes that don't exist. These issues can pose security and quality risks. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to automate repetitive tasks, speeding up our coding process and letting us focus on business logic. It helps minimize context switching by providing explanations and documentation directly in the IDE. ### 27. GitHub Copilot Supercharged My Workflow with Accurate, Context-Aware Suggestions **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot has significantly sped up my development workflow. Its inline code suggestions are accurate and context-aware, particularly when I’m working in C# and TypeScript. It takes care of repetitive boilerplate almost instantly, which saves me hours each week. The chat feature in VS Code is also excellent for explaining code, helping generate unit tests, and assisting with debugging when I get stuck. Overall, it integrates smoothly into my existing setup with virtually no friction. **What do you dislike about GitHub Copilot?** Sometimes the suggestions feel off-context or overly verbose, so I still need to adjust them manually. It can also struggle at times with less common frameworks or niche libraries. The cost may be a barrier for solo developers or small teams. During heavy usage, it occasionally slows the editor down a bit, and the suggestions can start to feel repetitive when I’m working with similar code patterns across a project. **What problems is GitHub Copilot solving and how is that benefiting you?** As a solo full-stack developer building a SaaS EdTech platform, I used to spend a lot of time writing repetitive boilerplate across C#, TypeScript, and Dart. GitHub Copilot has drastically cut that time down—I can now scaffold APIs, write unit tests, and implement CRUD operations much faster. It feels like a second pair of hands, so I can stay focused on architecture and business logic instead of getting bogged down in syntax. Overall, it’s noticeably improved my productivity and how quickly I’m able to ship. ### 28. Understands My Intent and Helps Map Features and Data Flow. **Rating:** 4.5/5.0 stars **Reviewed by:** Sanidhya A. | Student, Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2026 **What do you like best about GitHub Copilot?** it understand my intent means what im trying to build, what are the features ,where should data flow it gets me, its UI is actually user fiendly compared to most of AI Agents i know . it integration with mcp server makes work much easier like with figma,etc **What do you dislike about GitHub Copilot?** costly and free tier ends very soon and context is also limited it should be which is a barrier in making full stak apps **What problems is GitHub Copilot solving and how is that benefiting you?** will wokring on a project an dgetting error it can solve and make login and register logic in code an dmany things like that . most importantly it understand my idea very well then create a step by step map or guide to wokr on and beacuse of this i also get knowledge of how software is being build and how things are working . not just solve a bug also tells what causing it and what how can i prevent these things ... , costly but makes works easy and correct and correct means not messing software but actually doing meaningful work, and this helps me finish projects before deadline. ### 29. Fits Seamlessly into IDE and GitHub Workflows, Saving Time on Reviews **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about GitHub Copilot?** What I like most is how it fits into both my development workflow and our review process. I use it in my IDE to help write code, suggest improvements, and even debug when I’m stuck, which saves a lot of time. We also use it as part of an automated GitHub workflow for code reviews, and it’s helpful in catching basic issues or suggesting changes early. It feels like having an extra pair of eyes, especially for repetitive or boilerplate-heavy tasks. **What do you dislike about GitHub Copilot?** The suggestions aren’t always accurate, especially for more complex logic or domain-specific code. You still need to review everything carefully, as it can sometimes produce code that looks right but isn’t fully correct. In code reviews, it’s useful but not a replacement for human context, it can miss the bigger picture or intent behind changes. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps speed up development by reducing the time spent writing routine code and assisting with debugging. In reviews, it adds an extra layer of automated feedback, which helps catch small issues earlier and keeps things moving faster. Overall, it improves productivity without replacing the need for proper review and understanding. ### 30. Revolutionized Our Coding Process with Seamless AI Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Vishesh A. | cloud engineer intern, Small-Business (50 or fewer emp.) **Reviewed Date:** February 03, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot to help with coding basic things, formatting my code, and looking for errors. It's integrated into my IDE (VS Code), so I don't have to switch tabs. I appreciate that it comes with multiple LLM options like Claude, ChatGPT, and Gemini, allowing me to switch as I wish. It doesn't run out of credits and has better code handling compared to the traditional web versions. I love that I don't have to copy and paste my code because it already has access and updates it itself. Before changing my code permanently, I can see how the new version performs and the changes it made before deciding to 'keep' it. The integration of multiple AIs helps me check what each has to offer before going with one. The setup was really easy; I just got the extension and connected my GitHub account, and I was good to go. **What do you dislike about GitHub Copilot?** Sometimes it takes too long to generate a response and keeps meddling with the terminal instead of the actual code, but that happens rarely. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps with coding, formatting, and error-checking. It's integrated with my IDE, so I don't need to switch tabs. It automatically updates my code and offers multiple AI options without running out of credits, making coding more efficient. ### 31. Quick, Usable Code Suggestions That Save Time in the Editor **Rating:** 4.5/5.0 stars **Reviewed by:** Sagar K. | SEO Analyst, Marketing and Advertising, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about GitHub Copilot?** It gives quick, usable suggestions for repetitive code and common patterns, which saves a lot of time. It also keeps me in the editor so I don’t have to keep searching for basic implementations. **What do you dislike about GitHub Copilot?** it often sounds confident even when the code is slightly wrong. It can miss edge cases or suggest outdated patterns, so you still need to review everything carefully. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me move faster on small tools and scripts, especially the kind I build for SEO tasks like hreflang extraction or data cleanup. Instead of figuring out syntax or boilerplate, I can focus on the logic and get a working version quickly. ### 32. Boosts Productivity and efficiency with great integrations in your IT setup **Rating:** 4.0/5.0 stars **Reviewed by:** Purva K. | System Integration Specialist, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about GitHub Copilot?** I like GitHub Copilot because it literally reduces my time on repetitive tasks, like refining my emails and suggesting my coding functions. I like that I can use GitHub Copilot to get an overview of a repository and understand the functionalities, which really helps when I’m looking for main files and functionalities. I love that I can access it inside Visual Studio Code. It immediately starts suggesting code and improving it for me. GitHub Copilot is especially useful in writing helper functions, validations, and logic. It’s great that I don't have to switch between tabs when I'm working because I can access it easily both from GitHub and Visual Studio Code. I appreciate the different models provided by Copilot as they really help a lot. I find the customer support and the community very helpful, and I feel like the platform is well-supported, which gives me trust when relying on it for development. I think GitHub Copilot is flexible and can be used by anyone, not just developers—it can help with sales data analysis or marketing strategies. It also helps me with documentation by providing outputs in a structured way. The initial setup was smooth and very straightforward, making it user-friendly and beginner-friendly. **What do you dislike about GitHub Copilot?** Sometimes the suggestions are not very up to date, especially with recent changes in API versions like Azure's. GitHub Copilot doesn't always have knowledge of the latest API updates, which can be problematic when working with new features or changes. Additionally, it requires a stable internet connection, which is a limiting factor. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to reduce repetitive tasks, refine emails, improve coding functions, and understand repositories quickly, saving me time. ### 33. A lifesaver that lets me focus on the logic while the tools handle the heavy lifting **Rating:** 5.0/5.0 stars **Reviewed by:** Sree K. | Software Engineer II in Test, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about GitHub Copilot?** What I love most about GitHub Copilot is how effortlessly it supports my day-to-day automation work. The ease of use is what hooked me from day one; it genuinely feels like having a partner who already understands my coding style and our specific Java framework. I use it constantly throughout the day, and that frequency has actually changed how I approach writing new scripts. Instead of digging through documentation for Rest Assured syntax or Selenium locators, I can just start typing and it completes what I’m trying to do. It keeps me in the flow, making the whole process feel more natural and far less like a chore. The implementation and integration have been big pluses for me as well. Since our codebase already lives in GitHub, getting it running in my IDE was basically a one-click setup. It didn’t require complicated configuration or major changes to how we work; it simply fit into our existing Git workflow. The range of features—especially the new agent mode—has also noticeably boosted our productivity. It’s not only about basic code completion anymore; it’s about having a tool that can help me think through more complex logic or even refactor an entire page object while I’m still in the middle of a sprint. Whenever I’ve hit a strange glitch or had questions about recent updates, both customer support and the community have been really helpful. It’s reassuring to know the platform is well supported, especially since we rely on it so heavily for testing now. At this point, it’s become an essential part of my toolkit—I can’t really imagine going back to writing boilerplate code by hand or spending hours debugging simple typos that Copilot catches right away. It lets me focus more on the interesting parts of my job, like figuring out the best testing strategies for our products. **What do you dislike about GitHub Copilot?** The context window can also be a bit frustrating. In our larger automation files—especially those with hundreds of lines of API test cases—Copilot sometimes loses track of the logic I established at the top of the file. It then starts suggesting variable names or logic that doesn’t align with the rest of the script, which forces me to pause and manually correct it. It’s not a dealbreaker, but it does interrupt my momentum. **What problems is GitHub Copilot solving and how is that benefiting you?** What I really value about GitHub Copilot is how it solves the “blank page” problem and reduces the mental exhaustion that comes with writing boilerplate. As someone who has to write a lot of Java and Selenium scripts, the constant repetition of setting up locators, page objects, and Rest Assured blocks can be draining. Copilot helps by predicting what I need based on the context of our framework, taking care of that tedious initial heavy lifting so I can get a working script drafted in a fraction of the time it used to take. It’s also been a big help with the debugging and documentation gap. Before Copilot, if I had a failing API test, I’d have to manually dig through JSON paths and headers to find the mismatch. Now I can ask the Copilot agent to analyze the response and the code, and it usually spots the issue—like a missing header or the wrong data type—almost instantly. On top of that, it takes care of the JavaDoc and comments for our test suites, which I’m guilty of skipping when I’m rushing to hit a sprint deadline. Overall, the main benefit for me is that it lowers the cognitive load of my day-to-day work. Since it handles syntax and repetitive patterns, I can spend more of my brainpower on the actual testing strategy—thinking through edge cases or better ways to structure our regression suites. It feels like a force multiplier for my eight years of experience: I’m not just coding faster, I’m a more focused tester because the “noise” of manual coding has been dialed way down. ### 34. Speeds Up Coding with Accurate Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** hamna a. | Application Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 21, 2026 **What do you like best about GitHub Copilot?** I used GitHub Copilot to speed up coding by generating code suggestions, boilerplate, and function templates. I like how it quickly suggests useful code and helps me write faster with less effort. It’s helpful for quick solutions and learning new syntax. I also like how it understands context from my code and comments, making its suggestions feel relevant and helpful. The initial setup was very easy—just install the extension, sign in, and it’s ready to use. **What do you dislike about GitHub Copilot?** Sometimes the suggestions from GitHub Copilot are inaccurate or not optimized, so they need careful review. It could be more accurate, especially with a better understanding of complex, project-specific code. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to speed up coding, generating code suggestions and templates quickly. It handles repetitive tasks, helps with syntax, and provides quick solutions, saving time. However, I review everything as suggestions can be inaccurate. ### 35. High-level productivity for developers and technology students. **Rating:** 5.0/5.0 stars **Reviewed by:** Jennyfer R. | Estagiária de Desenvolvimento de Sistemas, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 22, 2026 **What do you like best about GitHub Copilot?** The Copilot drastically increases my productivity by suggesting, in real-time, repetitive code blocks and even more complex logic. It's like having a constant partner in programming the projects at Jheytech.Ai. **What do you dislike about GitHub Copilot?** Sometimes, the suggestions may be based on outdated libraries, which requires a more careful manual review. Additionally, the reliance on a stable internet connection can be a limiting factor. What problems does it solve?: "It solves the time bottleneck in writing boilerplate code and helps to learn new syntaxes more quickly, which is essential for my study flow at Uniasselvi." Evaluation Title: "The indispensable right-hand for developers in training" **What problems is GitHub Copilot solving and how is that benefiting you?** It eliminates the time spent on 'boilerplate code' (repetitive code), allowing me to focus on business logic and system architecture. For my studies at Uniasselvi, it helps to learn new syntax more intuitively. ### 36. GitHub Copilot: Fast, Context-Aware Coding Assistance That Feels Like Pair Programming **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 03, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot makes routine coding tasks much faster. It’s like having a helpful pair programmer who instantly suggests lines, functions, or even full snippets as you type. I especially appreciate how it adapts to the context of the code I’m working on, making suggestions that feel relevant rather than generic. UI / UX: Using Copilot day-to-day is very smooth. The inline suggestions feel natural and don’t disrupt the workflow, and cycling through alternatives or accepting a suggestion is intuitive. It integrates directly into my IDE without adding extra clutter, so it’s easy to stay focused on coding rather than managing the tool itself. Integrations: Copilot integrates seamlessly with VS Code, JetBrains IDEs, and GitHub repositories. It respects existing project settings and coding style, which is important when working on shared codebases. Setting it up alongside version control and other dev tools was straightforward and didn’t require any complicated configuration. Performance: Suggestions appear quickly, even on larger projects. While complex files occasionally take a second longer for context analysis, Copilot remains highly reliable and rarely interrupts workflow. I’ve not encountered crashes or slowdowns that affect productivity. Pricing / ROI: The subscription cost feels justified for anyone coding regularly. Copilot saves time on boilerplate, repetitive patterns, and even debugging small mistakes, so the efficiency gains can outweigh the cost - especially for professional developers or teams handling larger codebases. Support / Onboarding: Onboarding is simple. Installing the plugin and connecting it to your GitHub account is straightforward. Documentation is clear, and the community is active for troubleshooting or learning tips. Overall, getting started was painless and didn’t require much hand-holding. AI / Intelligence: The AI capabilities are impressive. Copilot not only completes lines of code but can generate functions, handle multiple file contexts, and even suggest idiomatic patterns in languages I’m less familiar with. Its ability to understand context and adapt to coding style over time makes it feel like a true coding partner rather than just a predictive tool. **What do you dislike about GitHub Copilot?** While GitHub Copilot is incredibly helpful, it isn’t perfect. Sometimes the AI suggestions don’t exactly match the project’s coding conventions, so you still need to review and tweak the code. For very specific or advanced patterns, the suggestions can be off or too generic, which means it’s not a complete replacement for understanding the code yourself. Additionally, the subscription cost might feel high for casual or infrequent developers who don’t benefit from the speed-ups every day. **What problems is GitHub Copilot solving and how is that benefiting you?** Before using GitHub Copilot, we struggled with repetitive boilerplate code, writing utility functions, and implementing common patterns across multiple projects. This often slowed down development and increased the chance of small errors, especially when working under tight deadlines or on large codebases. After implementing Copilot, we can generate context-aware code suggestions almost instantly. Now, repetitive code is mostly automated, and even complex functions can be drafted quickly. This has resulted in significant benefits: development cycles are faster, code consistency has improved across the team, and minor errors are reduced. On average, we estimate Copilot saves several hours per week per developer, which allows us to focus on higher-value tasks like design, testing, and feature innovation. In short: we struggled with repetitive coding tasks and maintaining consistency, but now we can generate quality code faster, which has increased productivity, reduced errors, and freed up time for more strategic work. ### 37. Copilot Accelerates Coding and Streamlines Issue Resolution **Rating:** 4.0/5.0 stars **Reviewed by:** Saif M. | Ph.D. Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about GitHub Copilot?** I love the way Copilot helps me fix minor issues in my codebase quickly. Before using Copilot, I used to find out the workaround by copying the error message and finding a similar solution on Stack Overflow. Now, I mostly fix my code and generate skeleton code for a new implementation with Copilot. **What do you dislike about GitHub Copilot?** Sometimes, I have to be very specific or prompt multiple times to find out the correct workaround or solution to the problem I am facing. If Copilot had some sort of contextual understanding based on my whole repo, it would have been better. **What problems is GitHub Copilot solving and how is that benefiting you?** - Quick fixes for minor bugs - Generation of skeleton code based on the implementation plan - Refactoring code - Generate documentation in README or as doc strings of individual functions ### 38. Boosts Engineering Efficiency with Intuitive Code Guidance **Rating:** 4.5/5.0 stars **Reviewed by:** Uttam M. | Data Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** January 14, 2026 **What do you like best about GitHub Copilot?** I find GitHub Copilot incredibly easy to use, and I love how it integrates seamlessly with many of my editors like Visual Studio Code and IntelliJ. That's definitely a great point about it. It plays a very important role in my day-to-day activities by helping me reduce my workload and complete tasks much quicker. The tool assists me in understanding problem statements without even writing the code, generating code, analyzing different solutions to opt for the best, and even reviewing pull requests by just selecting Copilot as the reviewer. It also provides a chat box in my editor, which allows me to push code changes, commit my code, and create pull requests or feature branches with ease. From a security perspective, GitHub Copilot also stands out positively. **What do you dislike about GitHub Copilot?** Sometimes the models in GitHub Copilot hallucinate or they're not able to capture the context or maintain the history. If that can be improved, it would be great. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me understand problem statements, automate tasks like branch creation and PRs, and generate and review code efficiently, reducing my workload and saving time. ### 39. Massive Productivity Boost with Smart Code Completions **Rating:** 5.0/5.0 stars **Reviewed by:** Ganesh W. | Senior Associate, Enterprise (> 1000 emp.) **Reviewed Date:** January 14, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot has significantly improved my coding productivity. It suggests intelligent code completions and entire functions that often match what I was planning to write. Copilot excels at routine tasks like boilerplate setup, loops, and standard patterns, which saves me a lot of time and helps me focus on the more complex parts of development. It’s like having a second pair of hands in my editor — especially useful for jumpstarting new files or unfamiliar APIs. **What do you dislike about GitHub Copilot?** Context awareness: Sometimes suggestions don’t fully understand the bigger picture of the current project or custom business logic, leading to irrelevant code. Accuracy in complex logic: For advanced architecture or deeply specific requirements, suggestions can miss the mark and require careful editing. Security awareness: Occasionally suggests patterns that might not follow best security practices, so you must **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps businesses improve developer productivity, reduce time-to-market, and lower development costs by acting as an AI-powered coding assistant Copilot generates boilerplate code, standard functions, and routine structures automatically, freeing developers to focus on complex logic and business value. It speeds up develoment cycle. ### 40. Generous Model Limits and Multi-Provider Choice Make It Highly Cost-Effective **Rating:** 5.0/5.0 stars **Reviewed by:** Sutthiphong C. | Front-End Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about GitHub Copilot?** It has generous limits for models, and they still don't use token like most of others IDEs, so it makes it most cost effective solution. In terms of harness it works pretty well and models execute commands correctly. And compare to Claude code or Codex you can choose between different providers, not just one. **What do you dislike about GitHub Copilot?** Sometimes it feels like working a bit slow (maybe heavy load or something), but overall I'm satisfied with the experience **What problems is GitHub Copilot solving and how is that benefiting you?** It allows to automate code tasks in VSCode using integrated extension, so it is easy to write, review and modify generated code by models. ### 41. GitHub Copilot: A Developer's Best Companion **Rating:** 4.5/5.0 stars **Reviewed by:** Kristy D. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 06, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot to help me code, and it reviews my code during PRs. I like how it goes straight into solving my problems and understands what I'm asking. It gives me more than one answer, allowing me to decide what's best for my application. The initial setup was super easy; I just had to link my proxy and log in. **What do you dislike about GitHub Copilot?** Sometimes I feel like GPT isn't as effective as Claude, so maybe allow all the AI Agents to be equally knowledgeable. I think it might be better if it doesn't just suggest downloading plugins and instead explains things before doing them. Sometimes it just goes straight into asking to download instead of explaining why this solution might be best for me. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to help me code and review my code during PRs. It helps me remember git commands and any functions with the language I use. It also allows me to make my code as readable as possible, by suggesting edits and adding comments when needed. ### 42. Github Copilot—Easy to Use in VS Code **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** March 23, 2026 **What do you like best about GitHub Copilot?** There are lots of models, but honestly the best thing for us has been the quotas. On our enterprise plan, we’ve only hit the quota and been put in a timeout once. We also really enjoy the breadth of models available, how easy it is to use in VS Code, and the amount of quota we receive as well—it’s been great. **What do you dislike about GitHub Copilot?** I think the flexibility of the models is really hard to get a handle on. For example, things like tool calling and enabling web search are pretty hidden behind the Co-Pilot interface. Another example is the 1m context token with the Claude models: you really can’t make many changes or decisions around that. **What problems is GitHub Copilot solving and how is that benefiting you?** We mainly use it as an internal coding tool alongside VS Code, and it helps us get a lot of work done. Most of our coding tasks—debugging and adding new features—are now handled through Copilot. ### 43. A Coding Partner That Boosts Productivity **Rating:** 5.0/5.0 stars **Reviewed by:** Roshish S. | Mid-Level Flutter Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about GitHub Copilot?** I love using GitHub Copilot for software development because it helps me immensely when writing code. It learns my patterns and provides inline autocompletion, suggesting code exactly how I would write it, like it can read my mind. This feature is really helpful in resolving confusion about syntax and it saves me a ton of time by preventing the need to write boilerplate code repeatedly. I also appreciate that it can write the logic for me when I'm stuck, and sometimes I can code an entire feature just by pressing Tab. The initial setup was super easy and took less than 10 minutes. **What do you dislike about GitHub Copilot?** The pricing was a little expensive, but the value was worth it. If it could be like 25-50% cheaper, it would be a bang for the buck and would make everyone buy it. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot saves me time and energy by eliminating the need to memorize syntax and rewriting boilerplate code. It learns my coding patterns, providing accurate inline autocompletions and even writing logic for complex tasks, enhancing my productivity significantly. ### 44. Outstanding Experience from Start to Finish **Rating:** 5.0/5.0 stars **Reviewed by:** Sudheer A. | Senior Engineer - Software, Enterprise (> 1000 emp.) **Reviewed Date:** December 25, 2025 **What do you like best about GitHub Copilot?** GitHub Copilot proves to be an amazing tool for coding activities of every day. The implementation is pretty straightforward, and it does not demand a complicated setup. The development environment's integration is significantly seamless and fast. Moreover, it provides handy code suggestions, eliminates duplication of work, and the like. In effect, it turns coding into an easier, quicker, and more pleasant experience. **What do you dislike about GitHub Copilot?** One aspect of GitHub Copilot that I am not really fond of is its occasional provision of incorrect or partial code recommendations. It might be the case that it does not perfectly grasp the project environment and thus comes up with non-optimal solutions. I continue to be in a situation where I have to meticulously review and test the code, which means more effort on my side. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot is a handy tool for tackling those repetitive coding tasks that can take up so much time. As an iOS developer working with Xcode and Visual Studio, it’s pretty great because it helps me whip up Swift, SwiftUI, and other bits of code really quickly. I mean, it cuts down on the manual typing, which is a big win. Plus, it speeds up the whole development process. You know, it also helps with syntax and boilerplate code, which can be a bit of a hassle. This means I get to spend more time focusing on the actual logic of the app, solving problems, and really improving the overall quality of what I’m working on. It’s like having a little coding buddy that’s always there to lend a hand. ### 45. AI-Powered Assistant with Room for Context Improvement **Rating:** 3.0/5.0 stars **Reviewed by:** Piyali D. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2026 **What do you like best about GitHub Copilot?** I like that GitHub Copilot provides AI-powered coding assistance, which helps speed up software development. It really reduces the mental load and handles repetitive tasks, allowing me to focus more on creativity. The increase in coding speed and creative flow is a huge plus. I also enjoy the content-aware suggestions, which make me feel like I'm working with an AI programmer and enhance my productivity. The initial setup is very straightforward, which is another aspect I appreciate. **What do you dislike about GitHub Copilot?** Deep context awareness needed **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot provides AI-powered coding assistance, reducing mental load and repetitive tasks. It increases coding speed, boosts creative flow, and enhances productivity with its content-aware suggestions, making it feel like an AI programmer. ### 46. Fast Responses and Great IDE Integrations for Python , Next.js and flutter **Rating:** 5.0/5.0 stars **Reviewed by:** Nilay L. | Freelancer Fulltime, Small-Business (50 or fewer emp.) **Reviewed Date:** April 08, 2026 **What do you like best about GitHub Copilot?** integration support for many of the popular IDE and speed of response. additionally Ui is easy to navigate and user friendly plus the AI models it provides in the price range is awesome and very affordable. **What do you dislike about GitHub Copilot?** setting up the permission for agent mode is somehow complex for new user to understand. sometime copying or rerunning same query is but of a hassle. **What problems is GitHub Copilot solving and how is that benefiting you?** it give seamless integration across all IDE and give all language support for agent mode. All a all in one stop for any AI model. ### 47. Basic AI Tool with Limited Coding Assistance **Rating:** 3.0/5.0 stars **Reviewed by:** Abdullah H. | Medical Lead & Founder, Medical Practice, Small-Business (50 or fewer emp.) **Reviewed Date:** February 25, 2026 **What do you like best about GitHub Copilot?** I really like that GitHub Copilot was the first to launch something like this, making a big step in integrating AI into coding. Its easy integration with Visual Studio and many other things is something I appreciate. I enjoyed asking questions in natural language and it answering through AI, which was impressive to see from a non-technical background. The initial setup was also really easy, just like a tab where you register and pay annual payments, making it simple to have and install. **What do you dislike about GitHub Copilot?** I find the quality of the generated codes by GitHub Copilot to be really disastrous and not effective or efficient. I didn't like the quality of the codes they are generating and it was really an awful experience. I would advise them to use the latest AI models. The coding lines written by them are not effective, and when I used another provider with the same prompt, the effectiveness was clearly distinct. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for generating code and getting recommendations to improve AI model efficiency and reduce latency, despite finding the code quality often disastrous. ### 48. A Trusted Coding Buddy That Helps Me Get Things Running Fast **Rating:** 4.0/5.0 stars **Reviewed by:** sandesh g. | UI/UX support engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about GitHub Copilot?** It’s like a trusted coding buddy who helps me get things up and running. **What do you dislike about GitHub Copilot?** If I’m talking about its VS Code extensions, the history tracking could be more user-friendly. For example, if I need to open the history for a specific date, I still have to figure out how to find it. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps with bug fixes, makes it easier to understand the project architecture, and extends support for working with the new Req Specs by integrating the AI Agent modules. ### 49. Smart & context‑aware suggestions **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about GitHub Copilot?** Copilot shows suggestions directly inside your IDE as you type, so you don’t have to switch between tabs or tools. It can propose complete lines or even entire functions, which can make it faster to write boilerplate or other repetitive code. **What do you dislike about GitHub Copilot?** Copilot can suggest code that accidentally copies patterns from public repositories, raising questions about licensing, privacy, and even security‑practice gaps. It also doesn’t inherently know your organization’s security policies, so generated snippets may need extra scrutiny. **What problems is GitHub Copilot solving and how is that benefiting you?** I can sketch out implementations, APIs, or scripts in just a few lines describing my intent, and Copilot fills in the scaffolding. That lets me stay focused on the logic and overall structure, instead of getting bogged down in syntax. ### 50. Efficient Coding Assistant with Steep Pricing **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** February 17, 2026 **What do you like best about GitHub Copilot?** I like GitHub Copilot because it means I don’t have to do everything entirely by myself. I’ve been using it for a while, and the AI feels very well trained and exposed to many data repositories, which makes it genuinely helpful. It’s especially useful for debugging and for writing lots of code, and it helps automate repetitive tasks when I run into issues in my own code. I also find it valuable because it seems to have more coding data than other tools and is clearly built for people who code every day. Even when I make mistakes or I’m following tutorials, it still helps by offering autocomplete and suggestions that keep me moving forward. **What do you dislike about GitHub Copilot?** At this point, the pricing feels a bit high for what it’s providing, especially given the current competitive market. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me debug, write code, and automate repetitive tasks. It saves me time and is especially useful when I run into coding issues. ## GitHub Copilot Discussions - [How do you handle incorrect or irrelevant suggestions in GitHub Copilot?](https://www.g2.com/discussions/how-do-you-handle-incorrect-or-irrelevant-suggestions-in-github-copilot) - 1 comment, 1 upvote - [View GitHub Copilot pricing details and edition comparison](https://www.g2.com/products/github-copilot/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+12%3A49%3A10+-0500&secure%5Bsession_id%5D=ccb738e2-b998-4b14-90e2-53e161589d14&secure%5Btoken%5D=31f2c90eaa845a09e69dccb843a8f2cbcb1edbf5120b4aa19cc0ef4939eedf4e&format=llm_user) ## GitHub Copilot Integrations - [Android Studio](https://www.g2.com/products/android-studio/reviews) - [Chocolatey](https://www.g2.com/products/chocolatey/reviews) - [Cursor](https://www.g2.com/products/cursor/reviews) - [Eclipse](https://www.g2.com/products/eclipse/reviews) - [Figma](https://www.g2.com/products/figma/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [IntelliJ IDEA](https://www.g2.com/products/intellij-idea/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Microsoft Edge](https://www.g2.com/products/microsoft-edge/reviews) - [Microsoft Outlook](https://www.g2.com/products/microsoft-outlook/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [Odoo ERP](https://www.g2.com/products/odoo-odoo-erp/reviews) - [OpenRouter](https://www.g2.com/products/openrouter/reviews) - [Playwright](https://www.g2.com/products/playwright/reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) - [Vercel](https://www.g2.com/products/vercel/reviews) - [Visual Studio](https://www.g2.com/products/visual-studio/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Xcode](https://www.g2.com/products/xcode/reviews) ## GitHub Copilot Features **Functionality** - Accuracy - Input processing - Interface - Code quality **Functionality - AI Coding Assistants** - Contextual Relevance - Code Optimization - Proactive Error Detection **Performance - AI AppSec Assistants** - Remediation - Real-time Vulnerability Detection - Accuracy **SDK Architecture & Libraries - AI SDK** - Modular SDK Components - Cross-Platform SDK Support - Client Libraries **Support** - Community - Update schedule - Documentation **Usability - AI Coding Assistants** - Collaboration - Integration - Speed - Interface **Integration - AI AppSec Assistants** - Stack Integration - Workflow Integration - Codebase Contextual Awareness **Model Integration - AI SDK** - Multi-Model Integration - Streaming & Real-Time Responses - Model API Wrappers **Agentic AI - AI Code Generation** - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Application Development - AI SDK** - SDK Extensibility - AI Workflow Abstractions - Agent & Tool Invocation Frameworks **Deployment & Operations - AI SDK** - Logging & Observability - Authentication & Access Management - Error Handling & Retry Logic ## Top GitHub Copilot Alternatives - [Gemini](https://www.g2.com/products/google-gemini/reviews) - 4.4/5.0 (327 reviews) - [Tabnine](https://www.g2.com/products/tabnine/reviews) - 4.1/5.0 (46 reviews) - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - 4.6/5.0 (2,219 reviews)