
So Github Copilot is an AI pair programmer that suggests code and entire functions in real time as you type.It understand the existing code and suggest the logic for your feature that you will not think about that.It is trained on billions of lines of code so you do not have to write the logic for the code which someone has already implemented.It supports a wide variety of programming languages like Python, JavaScript, TypeScript, Ruby, etc.It can easily be integrated with your ide for a better experince.It suggest bug fixes and helps reduce repetitive code.This helps much to increase the developers productivity. Review collected by and hosted on G2.com.
So there are some cons also when working with github copilot which you can get irritated with like its suggestions may not always be correct or match what the developer intends to write. It can introduce bugs or fail to capture nuanced application logic.Sometimes after looking at the suggestions developer tends to think in that way and stops thinking critically about code they are writing.Its also not a free tool so it becomes costly. Copilot may suggest insecure code or introduce vulnerabilities into a codebase that attackers could exploit. Review collected by and hosted on G2.com.
What I particularly appreciate about GitHub Copilot is the combination of efficiency, adaptability, and the variety of AI models it leverages. It doesn’t just provide quick code completions; it actively enhances my workflow by suggesting optimized, structured, and performance-oriented solutions. Whether I’m working on complex logic, debugging, or simply improving code readability, it consistently delivers relevant and high-quality suggestions that align with best practices. (i alternate Claude 3.7 & Gemini Flash models)
Additionally, I value the strong emphasis on privacy and security.
The ability to fine-tune admin settings ensures that sensitive code remains protected while still benefiting from AI-driven assistance. Review collected by and hosted on G2.com.
The admin settings interface could be better organized.
The navigation feels a bit confusing at first, and it takes time to fully understand all the available options.
While the depth of customization is a strength, a more intuitive hierarchy would enhance the user experience. Review collected by and hosted on G2.com.
It gives amazing suggestions and auto-fills suggestions based on your code's context and your coding style. It's easily implementable to your coding IDE if you're using VS Code as it's already integrated into it as a plugin. It's now a daily part of my coding life! Review collected by and hosted on G2.com.
Their free limit is very low, would be nice to increase it as it helps a lot of people including students! Review collected by and hosted on G2.com.
Have been using this for the past year, and let me admit. It's one of the best copilot i've been using so far.
It's just like chatGPT but more easy to use and can be accessed on the IDE by hitting the shortkey.
One of its main strength is the way it can comprehend an algorithm and implement it with due of the respect of the previous syntaxs. Review collected by and hosted on G2.com.
- The model is not trained enough to comprehend a somewhat difficult question
- Sometimes it ignored the prompt that's given
- Hallucination sorta happen. E.g, it calls for a function of a module that doesn't exist Review collected by and hosted on G2.com.
It's very easy to use. It offers a lot of feature along the whole development life cycle.
It has everything a developer needs to boost their productivity.
It not only offers code generation but help around CLI commands and direct access to Github API which is very convenient. Review collected by and hosted on G2.com.
It's a bit slow and sometimes gets stuck.
The session for Github access expires very fast.
Sometimes, files will not be properly saved due to copilot interference which is I think a bug currently. Review collected by and hosted on G2.com.
It excels in providing code snippets, which save a lot time when automation repetitive tests or when dealing with a complex logic. Huge advantage it gave us during migration from Cypress to Playwright framework. Chat with Copilot inside VS code studio Review collected by and hosted on G2.com.
It happens Copilot provides suggestions not relevant to code at all. Review collected by and hosted on G2.com.
It writes the test class more or less 70% accurate. It suggests the code more or less 75% correct. It reduces y coding time and help in suggesting optimum coding. Review collected by and hosted on G2.com.
It always suggests whenever I do not need also Review collected by and hosted on G2.com.
The ability to complete syntax when writing code, to analyze error messages and almost 100 % give me a path forward, to explain and discuss architecture options, strategies Review collected by and hosted on G2.com.
The inability to analyze a code base in Visual Studio. I can use the edit function and analyze files but not the whole code base. Review collected by and hosted on G2.com.
It helps to code programs much faster. Also it advices and assist in coding best prectices. It can quickly fix issues by providing a the correct piece of code. Review collected by and hosted on G2.com.
Sometimes the suggested piece of code when working on a fix turns out to be not to the point or already implemented. Review collected by and hosted on G2.com.
Github Copilot is the fastest and very easy to implement copilot for our code editors. It generates our predicted code very efficiently and fastly. It is trained on many programming languages like Python, JS etc. It is compatible with many different code editors. It easily detects and fixes all the bugs and errors in our code. It keeps the track of our code from all of ours code files and auto completes our code. Review collected by and hosted on G2.com.
Their customer support is very slow and are not reliable. Review collected by and hosted on G2.com.