GitHub Copilot Reviews & Product Details

I like that GitHub Copilot incorporates lots of different AI models. It's quick to get the latest models and updates, and it's easily accessible in my preferred code editor, Visual Studio Code. I find it helps speed up my work and provides initial solutions, which is really beneficial. It gets more valuable over time as the frontier AI models get better. Review collected by and hosted on G2.com.

While it's easy to get started with GitHub Copilot, a lot of the features are hidden in various menus and such. I attended a workshop that helped me understand how to use it, but it would've been difficult to figure out all on my own. Also, there's a learning curve for more advanced usage. 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.

It simply improves my productivity in development. Also it provides suggestion when i am writing code by myself in Visual studio code. Review collected by and hosted on G2.com.

Sometimes the suggestions can be generic or slightly off in complex business logic scenarios, especially for highly customized environments. 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.

Agent mode is particularly useful, making a noticeable difference in my workflow. The ability to modify code in-line and access the codebase are also standout features. Integration with the IDE is smooth, providing just what you need to get the extension working quickly. Managing the copilot directly from the chatbox adds to the convenience. Overall, it serves as a very powerful assistant for daily tasks. Review collected by and hosted on G2.com.

Loosing control over long conversations. Review collected by and hosted on G2.com.

What I like best about GitHub Copilot is how well it fits into your day-to-day coding flow without getting in the way. It’s especially useful for quickly scaffolding boilerplate, suggesting patterns you were already about to write, and speeding up repetitive tasks like tests, types, or small utility functions. Review collected by and hosted on G2.com.

its suggestions can sometimes look very confident while being subtly wrong or not aligned with your project’s conventions or edge cases 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.

Good autocompletion,It takes less time on code and enough time on logic and design. helps in learning and exploring API's and copilot adapts to any language Review collected by and hosted on G2.com.

it escapes edge cases most of the time it uses outdated APIs, it doesn;t understand app architecture Review collected by and hosted on G2.com.