GitHub Copilot Reviews & Product Details

It’s a great productivity tool powered by AI . It helps me a lot with resolving bugs, refining my code, and generating new code. It’s also very helpful for research and for designing architecture. I like how it gives ask, edit and agent modes to optimize the amount of tokens used and the option to choose the model. Also, users can get 50 free hits every month and subscription is free for students and only $10/month. Setup is really easy and very easy to use with IDE's like VS code and collaborating platforms like Microsoft teams. It's performance is also decent, not as good as claude though. Review collected by and hosted on G2.com.

It’s prone to producing code with an inconsistent style within the same project. Some of the models hallucinate a lot. Sometimes, in edit mode, the code changes aren’t applied and are generated in chat instead, which wastes time and money on that call. It can also cause security problems by hard-coding secrets. Review collected by and hosted on G2.com.

As per my usage it has been flawlessly integrated in my Microsoft environment and also it seamlessly integrated in intelij and vs code as well so I use it both as a chat and ai agent which is the best part Review collected by and hosted on G2.com.

Well there's no dislike as such but yea compared to other ai tools the chat feels less confident to me some how especially compared to chatgpy Review collected by and hosted on G2.com.

I love how you can easily point to different files in Copilot by using the # marker to specify where you want to point it towards to fix bugs. Review collected by and hosted on G2.com.

I don’t like the inline Copilot because it doesn’t perform as well for me as the VSCode extension. Review collected by and hosted on G2.com.

GitHub is a version control system with you can write a code with Team, and manage your code. With GitHub Copilot as their name it is your Copilot which gives you a suggestion for your code. And give you title for your commits. Review collected by and hosted on G2.com.

Majority of the time GitHub Copilot gives you best suggestion for your code and title for your commits, but some times it gives you unnecessary title and code which is not useful for you. Review collected by and hosted on G2.com.

What I like best about GitHub Copilot is how much time it saves while coding. It provides intelligent code suggestions, helps generate boilerplate code, completes repetitive tasks, and offers useful recommendations for functions and logic. It also supports multiple programming languages and integrates seamlessly with IDEs like Visual Studio Code, making development faster and more efficient. Review collected by and hosted on G2.com.

Copilot occasionally generates incorrect or irrelevant code suggestions, requiring manual verification. It also has limited understanding of project-specific context, and the subscription cost may not suit everyone. Review collected by and hosted on G2.com.

I like GitHub Copilot for its productivity improvement during day-to-day development. It can automatically generate DTOs, validation methods, login statements, and even unit tests based on naming conventions and comments. This allows developers like me to focus more on system design and complex logic rather than repetitive coding tasks. GitHub Copilot provides more context for our suggestions and offers better support for enterprise frameworks, which makes it more useful during actual development work. Review collected by and hosted on G2.com.

The suggestions are not always reliable for complex business logic or highly domain-specific implementations. For example, in enterprise consulting projects with custom frameworks, Copilot sometimes generated outdated patterns or insecure code suggestions that require careful review before use. Review collected by and hosted on G2.com.

I use GitHub Copilot mainly for code suggestions, debugging help, and speeding up repetitive coding tasks. It helps me generate boilerplate code, write functions faster, and understand APIs while working on projects in languages like Python, JavaScript, and HTML/CSS. Copilot saves time by suggesting optimized code snippets and assisting with documentation comments, especially useful during web development and automation projects, since it improves productivity and reduces manual effort. One of the GitHub Copilot's features I value the most is its real-time code suggestions because they help me complete functions and logic much faster while coding. Copilot Chat is also frequently used for debugging, explaining code, and getting quick solutions without leaving the editor. Automatic boilerplate generation during web development and scripting tasks is another time-saving feature. These features improve productivity, reduce repetitive work, and help me focus more on problem-solving instead of routine coding. Review collected by and hosted on G2.com.

While GitHub Copilot is very helpful, there are times when the code suggestions are not fully accurate or optimized for the specific project context. Sometimes it generates repetitive or outdated solutions, so the code still needs careful review and testing. In larger projects, Copilot can occasionally misunderstand the intent of complex logic or existing architecture. Another area for improvement would be better support for highly customized codebases and more precise debugging suggestions. Improving context awareness and reducing irrelevant recommendations would make the experience even better. The initial setup was not too much of an easy task. Review collected by and hosted on G2.com.

I use GitHub Copilot for my development work and creating production-ready applications by integrating it into the IntelliJ code editor. It boosts my productivity by reducing boilerplate code and helps me write small blocks of code quickly. I really like how it integrates into my editor, reducing the time needed to provide context since it already has all code access. With it integrated in the code editor, I can directly ask about anything within the editor itself, and it provides a valuable and structured response. Setting it up was easy since the editor supports it; I just logged in with the organization's GitHub account, and it worked. Review collected by and hosted on G2.com.

The answers should be concise as I use it in my code editor. I wish it provided interactive solutions, like giving architecture-related answers by clicking on each tile instead of writing everything in one place. Review collected by and hosted on G2.com.

It’s easy to set up the whole CI/CD pipeline. It’s also very quick to implement, and the notification services are properly handled. It helps with code auto-complete, and the chatbot is good as well. The VS Code plugin is the feature I’ve benefited from the most. Review collected by and hosted on G2.com.

It uses up too many tokens, which ends up making it a bit costly. Review collected by and hosted on G2.com.

As a Frontend Developer, what I like most about GitHub Copilot is that it speeds up development by providing intelligent code suggestions for React, TypeScript, and JavaScript. It helps me generate boilerplate code, write reusable components, debug issues, and create unit tests more efficiently. This saves time on repetitive tasks and allows me to focus on building high-quality, user-friendly applications. Review collected by and hosted on G2.com.

One thing I dislike about GitHub Copilot is that its suggestions are not always accurate or optimized. It can sometimes generate outdated patterns, inefficient code, or solutions that don't match the project's coding standards. I still need to review, test, and refine its suggestions, especially for complex business logic and performance-critical features. Review collected by and hosted on G2.com.