GitHub Copilot Reviews & Product Details

I use GitHub Copilot for helping in minor coding tasks that are repetitive, mainly with boilerplate code and JSON/data mutations. Its inline suggestions are of great use to me. I find it very easy to use, especially directly inside my VS Code. It also assists in generating commit messages. When I'm coding a feature, it takes context from the file I'm working on and generates suggestions. The initial setup was very easy. Review collected by and hosted on G2.com.

It needs to be more accurate at times, it sometimes generates rubbish code. More features like uploading images inside of VS Code only, voice commands etc. Review collected by and hosted on G2.com.

For agent-based programming with models from other providers, I would also like to be able to integrate it within VS Code. Review collected by and hosted on G2.com.

Sometimes using the models is slower than using the provider directly. 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 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.

I find GitHub Copilot to be qualitatively better, and I like that it’s integrated with Visual Studio Code. It helps a lot by understanding the context of my project and then generating the most relevant tests accordingly. It also assists me while I’m coding, and I’ve found the initial setup to be very easy. Review collected by and hosted on G2.com.

It sometimes hallucinates and can get stuck in its own loop. 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.