GitHub Copilot Reviews & Product Details

- Inline code completions: Copilot suggests entire functions or code blocks directly in your IDE (VS Code, JetBrains, Xcode, etc.), turning comments or partial lines into working code.

- Copilot Chat: A conversational interface inside the editor where you can ask coding questions, request explanations, or generate snippets — making it feel like you have a mentor on demand.

- Context awareness: It adapts to the open files, imports, and naming conventions in your project, so suggestions feel tailored rather than generic.

- Rapid prototyping: Great for scaffolding new functions, validating ideas, or spinning up test cases without breaking flow.

- Multi‑language support: Copilot helps across many languages and frameworks, easing transitions between tech stacks. Review collected by and hosted on G2.com.

- Cost and licensing

- Copilot is a paid subscription, which can be a barrier for students, hobbyists, or small teams.

- Organizations must weigh whether the productivity boost justifies the recurring expense. Review collected by and hosted on G2.com.

I love how it seamlessly integrate with GitHub repositories to access all my projects which helps with issue resolution for those projects. I like it for autocompletion which works with massive programming languages I can fathom how it know its just incredible. Ease of use. Fantastic for faster and clean coding experience. Great for asking any questions and i get an instant response with several prompts generated for me. Effective for sparking my creativity to turn my ideas into an app. Review collected by and hosted on G2.com.

It has very dependable with instant feedback for every programming questions and love it for it's free. 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 like Github Copilot as it helps me in generating codes, debugging errors. So that as an automation engineer, I can directly focus on problem solving. It is very easy to use/implement. Also the agent of copilot helps me in reading the errors from the terminal and provides me the best solution. I am using Github Copilot in day-to-day life. Also it is integrated in my teams/outlook, vs code to debug the code and so on. Overall I feel copilot to be the one of the best AI tool. Review collected by and hosted on G2.com.

Copilot sometimes produces code that looks correct but has some errors. When a codebase is huge or deeply interconnected, Copilot sometimes fails to provide the exact solution. Review collected by and hosted on G2.com.

I love the entire GitHub Copilot ecosystem. The integration between GitHub and VS Code is wonderful. Creating issues directly from VS Code or opening a pull request from an issue is an excellent way to boost team productivity. Review collected by and hosted on G2.com.

I think the VS Code Copilot extension needs some improvements. Its RAM consumption is high, and its response time is slower compared to tools like Windsurf or Cursor. Review collected by and hosted on G2.com.

1) Boosts productivity – Saves hours by generating code quickly.

2) Great for small to medium tasks – Works well on focused files and repetitive coding patterns.

3) Helps overcome blank-page problem – Provides a starting point for new functions or modules.

4) Learns from context – Adapts to variable names, function signatures, and coding style in the current file. Review collected by and hosted on G2.com.

1) Struggles with large codebases – Limited context window means it doesn’t understand big projects with many files.

2) Not always accurate – Suggestions can miss project-specific logic or expectations.

3) Refactoring limitations – Good at writing new code, less reliable for large-scale changes.

4) Slower in big files – Performance and suggestion quality degrade when working on long files. Review collected by and hosted on G2.com.

There are a few things I liked the most about GitHub Copilot:

1. The support for multiple high-quality AI models. All in a single subscription.

2. The ability to give the code files of a project as context for a clear understanding of the question to AI for a better response.

3. The ability to send any questions with the complete codebase for finding the required actions to be done in big projects.

4. Co-pilot Agent to write code in a single or multiple file(s) after being instructed to. Thus saving a lot of time for minor or repetitive changes.

5. It is easy to use across the projects. Review collected by and hosted on G2.com.

At present, the inability to attach images or screenshots to the GitHub Copilot for certain types of questions or tasks. Review collected by and hosted on G2.com.

What I appreciate most about GitHub Copilot is that it feels like having an intelligent coding partner right by my side. It quickly generates boilerplate code, offers context-aware suggestions, and can even break down complex logic into simpler explanations. Rather than wasting time searching for minor syntax details or handling repetitive tasks, I’m able to concentrate on addressing the real business challenges. This not only accelerates my workflow but also increases my confidence while coding, particularly when I’m exploring new frameworks or programming languages. Review collected by and hosted on G2.com.

Sometimes, GitHub Copilot suggests code that appears correct at first glance but doesn't always fit my exact use case, so I still need to review its suggestions carefully before committing. In some situations, especially when dealing with very project-specific logic, its recommendations can be a bit too generic. Another minor drawback is that it occasionally slows down when working with larger files or if my internet connection is unstable. However, these issues are relatively minor compared to the significant amount of time it saves me each day. Review collected by and hosted on G2.com.

GitHub Copilot is very useful for beginners especially to those who have no clue what they are doing but have bunch of ideas. It helps them build a road map to assist them how to start there coding journey not only to newbie's but it also assist veteran with there coding whether its helping with some problems they encountered on there way or just with simple code. It also suggest very useful things like in my own case it helped me to find what I need to learn to obtain my goal of building a project. Its also very easy to use just like the new trending other AI's. It also answer the questions in very simple way and helps us users understand what we did wrong or what should be done easily. Review collected by and hosted on G2.com.

Well I think that GitHub Copilot is very dependable I mean for the beginners we just become very reliant on it, I think instead of just giving all the answers It should some features like makes us able to learn why those were wrong or how to avoid making similar mistakes. Also sometimes it just gives wrong codes which is not a big problems for veteran but for newbie its a whole new story they get more confused and may cause demotivation. Also the paid subscription seems to be expensive especially for the students and to the users of third world countries. Review collected by and hosted on G2.com.

Copilot is able to quickly grasp the entire codebase. Even if you're not very familiar with the code, it makes understanding it much easier. Review collected by and hosted on G2.com.

Sometimes it hallucinates and fails to understand what I need. Occasionally, it also doesn't work properly when handling larger tasks. Review collected by and hosted on G2.com.