GitHub Copilot Reviews & Product Details

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.

It’s very useful. I can integrate plugins directly in the IDE, and the inline code correction feature is especially helpful. Review collected by and hosted on G2.com.

as of now there is nothing to dislike forgithub copilot 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.

I like using GitHub Copilot for its brilliant code suggestions and the way it checks and fixes my code in real-time. It acts as a helpful coding assistant, especially when I'm stuck or in need of suggestions. The initial setup was also easy for me. Review collected by and hosted on G2.com.

It can be a little more user-friendly. I feel only developers or people with a tech background can use GitHub Copilot effectively. Review collected by and hosted on G2.com.

I really like the inline code completion feature; it's one of my favorites. Additionally, the agent tick mode in GitHub Copilot is something I use often for developing and code generation. Review collected by and hosted on G2.com.

The core suggestions which come from GitHub Copilot are sometimes not that efficient or not that straightforward. So that could have been better. Review collected by and hosted on G2.com.

The paid versions of models like Claude Sonnet are more advanced, which allows users to create and develop output far beyond what they initially thought possible. Review collected by and hosted on G2.com.

The paid versions are more contrasting in performance compared to free models. Review collected by and hosted on G2.com.