GitHub Copilot Reviews & Product Details

I find GitHub Copilot to be a pretty good tool for writing my code as a full stack developer. It helps me a lot to write code faster and more efficiently, especially when it comes to fixing bugs and creating new features for my applications at work. It's pretty fast to generate code, where tasks that might take two to three days can be completed within an hour or a day with Copilot. This speed helps me to finish my projects and bug fixes quickly without having to wait a long time. I appreciate the agentic mode feature, which really reduces my time in creating code bases and completes the tasks very fast. Review collected by and hosted on G2.com.

Sometimes when I'm creating code, it stops while generating, saying it reached a limit of 70. I have to click the continue button to resume work. It would be better if the token limit for generating code was higher or if it could resume automatically. Also, sometimes it doesn't understand what I'm saying, especially with my broken English, so I have to be very precise with instructions. I also struggle a bit with the UI. Review collected by and hosted on G2.com.

I like how GitHub Copilot speeds up coding by autocompleting complex functions, generating scratch code, and suggesting context aware algorithms in real-time, making software development fun and engaging. It's amazing how it suggests smarter ways to structure my existing code. It's like having a brilliant coding assistant that never exhausts, helping me stay productive and focused. The initial setup was also very easy, just installed its official extension on our IDEs, and we were generating code for our projects on the breeze. Review collected by and hosted on G2.com.

Sometimes Copilot suggests code that doesn't fit in our product architecture, so we still need to tweak it. It can also struggle with our in-house libraries, and occasionally autocompletes insecure patterns if not careful. Smarter context awareness and better handling of custom libraries would make it even better. Review collected by and hosted on G2.com.

GitHub Copilot helps me write code faster by suggesting useful code snippets and reducing repetitive tasks, allowing me to focus more on solving problems and building features. Review collected by and hosted on G2.com.

Sometimes Copilot suggestions are not fully aligned with the project context, so the generated code still needs review and refinement before being used. Review collected by and hosted on G2.com.

I like how easy GitHub Copilot is to use. Basically, I can just drag what I'm facing an issue with and directly chat with it to resolve the problem. It resolves everything in one place, making it easily available without needing to switch to other platforms like ChatGPT. This consolidation makes it a lot easier for me since everything is at one place, which simplifies the process and makes my life easier. Review collected by and hosted on G2.com.

Many times, when I want to do a simple change, GitHub Copilot creates multiple documentation files, which are unnecessary for small changes. It's a lot, especially when I'm in a hurry. Also, sometimes the logic it writes isn't correct, and I have to guide it, which feels very childlike at times and requires me to lay down my plans very specifically. Review collected by and hosted on G2.com.

GitHub Copilot has genuinely transformed how I approach coding as an ECE student. The AI-powered suggestions are incredibly smart and context-aware, often predicting exactly what I'm trying to implement. It's like having an experienced developer pair programming with me 24/7. I use it extensively in VS Code for my university projects and personal open-source contributions, and it has dramatically reduced the time I spend on boilerplate code and common patterns. What really stands out is how it helps me explore different approaches to solving problems - when I'm stuck, Copilot often suggests alternative implementations I hadn't considered, which has been invaluable for learning. The integration is seamless, and the inline suggestions appear naturally as I type without interrupting my workflow. It's particularly helpful when working with new libraries or APIs, as it can generate correct syntax and function calls based on comments or partial code. For embedded systems projects and hardware interfacing code, it has saved me countless hours of documentation lookup. The productivity boost is real - I estimate it cuts my coding time by at least 30-40% while actually improving code quality. Review collected by and hosted on G2.com.

While GitHub Copilot is fantastic overall, there are a few minor areas for improvement. Occasionally, the suggestions can be a bit too aggressive, completing entire blocks when I only wanted a single line, which means I have to be careful about accepting suggestions blindly. The quality of suggestions can vary depending on the programming language - it's excellent for Python and JavaScript but sometimes less accurate for niche embedded systems code or specific hardware libraries. There's also a learning curve in understanding when to trust the AI versus when to verify its suggestions, especially for complex algorithms or security-sensitive code. The subscription cost might be a barrier for some students, though the free student plan helps. Lastly, it requires an internet connection to work, which can be inconvenient when coding offline. Despite these minor issues, the benefits far outweigh the drawbacks. Review collected by and hosted on G2.com.

I use GitHub Copilot inside my VS Code to assist in my coding tasks, and I really like that it's easy to use without needing to change tabs or anything. It takes context from my current file, or I can choose which file to take context from, which is very useful. I also find that Copilot is more accurate and generates quality code compared to what I used before. The initial setup was very easy. Review collected by and hosted on G2.com.

I don't like that GitHub Copilot can't write or generate code inside VS Code via an image. I'd also love a feature to generate boilerplate code from Figma and the ability to upload images. Review collected by and hosted on G2.com.

What I like best about GitHub Copilot is how it accelerates development by generating relevant code, boilerplate, and suggestions directly in the editor. It reduces context switching, improves productivity, and helps maintain consistency across the codebase, especially during repetitive or complex implementation tasks. Review collected by and hosted on G2.com.

The main downside of GitHub Copilot is that suggestions can sometimes be inaccurate or overly generic, requiring careful review. It may also generate unnecessary code if prompts are not precise, and it’s less effective for understanding complex business logic or project-specific context. Review collected by and hosted on G2.com.

The agent mode is quite helpful for coding, as it eliminates the need for copy-pasting. All we have to do is type in our requirements, and it generates the code for us. Our main task is simply to validate the code it produces. Review collected by and hosted on G2.com.

Sometimes, it goes a bit off track when I try to generate documentation for a Java application. It tends to hallucinate and produces information that isn't accurate. Review collected by and hosted on G2.com.

I use GitHub Copilot for the creation and maintenance of automation frameworks. It helps in enhancing methods and optimizing patterns by making them compatible with the framework, following coding standards, and making the created methods reusable throughout pages. I also appreciate the parameterization, which applies as needed and covers all conditions for the best test coverage. The enhancement in framework design is particularly valuable to me, as it ensures that the methods are reusable and adaptable. Review collected by and hosted on G2.com.

It requires more than two or three prompts and sometimes gives general answers not compatible with the existing solution. Wherever a question is asked, the answer should be given and applied based on that. Review collected by and hosted on G2.com.

We use GitHub Copilot for writing test cases and boilerplate code, and it works great for generating what we need nowadays. It’s also very efficient with the CLI, which we can use to connect directly. Review collected by and hosted on G2.com.

Sometimes it loses the context, and it feels like the context window could be improved. Review collected by and hosted on G2.com.