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.

Mostly I like about GitHub Copilot is how speeds up my daily coding. It gives the realtime suggestion, reduces the repeated work and helps when stuck while writing code, especially while learning new frameworks kr fixing small logic issue. Review collected by and hosted on G2.com.

GitHub Copilot sometimes gives incorrect or over complicated solution for minor issues this the only thing I dislike. Sometimes need to review the code more carefully especially for the edge cases otherwise it can introduce the bugs without you noticing. Review collected by and hosted on G2.com.

I find GitHub Copilot pretty good and very fast. I appreciate how it always solves the problem in correct ways, even though sometimes it makes mistakes. With refined prompts, it's working very well. The agent mode is very useful for me; it starts to create code and fixes bugs very fast, providing feedback and thoughts, which is great. Review collected by and hosted on G2.com.

I find that when working in agent mode, it takes too much time, and sometimes it might not be stable. It requires more tokens, and while being worked on, it stops suddenly, which means I have to restart again. 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.

I like that it’s constantly evolving, there are different AI models available to choose from, and it’s very convenient to use in VS Code Review collected by and hosted on G2.com.

I think this is more related to the AI itself rather than GitHub Copilot when a user asks several questions, the answers can get stuck in a loop and don’t provide a proper response 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.