GitHub Copilot Reviews & Product Details

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 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.

I love how easy GitHub Copilot is to use and its smooth integration with different IDEs. The autocomplete feature in VSCode is super helpful, and I really appreciate that Copilot can read through the entire codebase, not just one file, which makes coding way more efficient. Also, having different AI models to choose from gives me options depending on my needs. Review collected by and hosted on G2.com.

The new quota system limiting the advanced AI model is frustrating for developers, as it’s often not enough for real coding work. The basic AI model feels less helpful and sometimes makes errors similar to ChatGPT 4.1, which slows down progress. It’s a bit disappointing since the advanced model is what really boosts productivity. Review collected by and hosted on G2.com.

It's very fast and quick in response. Able to get accurate responses for my development activities. I am able to find the issues easy and get the solution whenever needed. Easy to implement and I can use this on every time when doing work. It's integrated easily with Visual Studio and VS code. Review collected by and hosted on G2.com.

Customer support for business enterprise is little slow 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.