I really appreciate GitHub Copilot's ability to understand the context of my code and provide real-time suggestions. It doesn't just complete a single line of code; it often generates entire functions, test cases, or implementation blocks that are surprisingly close to what I actually need. The generated code is fully usable, which is fantastic. I find its context-aware code generation very useful since it adapts to the existing code base. This is particularly helpful for automation testing with unit test case generation. Review collected by and hosted on G2.com.

Sometimes the solutions provided by GitHub Copilot seem correct at first glance but can have subtle issues or miss important business requirements. I often need to manually review the generated code and can't rely entirely on the suggestions, as they might contain errors. Review collected by and hosted on G2.com.

I can easily switch between models. It also has a CLI. It can review my PRs, fix my pipeline, and help me resolve errors in my code. Review collected by and hosted on G2.com.

When I use models like Opus 4.8, my credits get consumed much too quickly. I don’t think larger models should cost this much, because it makes them hard to use for anything beyond very short tasks. Review collected by and hosted on G2.com.

It is helpful for speeding up the development by providing real time code suggestions, auto completing functions and even can build complete production level website with its AI intelligence.

It improves productivity with its debugging capabilities also. Review collected by and hosted on G2.com.

Its not guaranteed that the generated code is always correct and optimized so developers still need to review code and test it.

Some ai suggestions can sometimes be irrelevant and also the ai models need pro plan pricing for most effective use. Review collected by and hosted on G2.com.

GitHub Copilot helps me code faster by providing intelligent code suggestions, reducing repetitive work, and assisting with debugging and learning new technologies. It saves time and improves overall productivity while integrating smoothly into my development workflow. Review collected by and hosted on G2.com.

GitHub Copilot occasionally suggests incorrect or inefficient code and doesn't always understand the full context of a project. Its outputs require validation, and developers should avoid relying on it without reviewing the generated code. Review collected by and hosted on G2.com.

I like Github Copilot because it reduces the time spent on repetitive coding tasks. I also like that it works smoothly inside VS Code, so I dont have to switch between browser tabs and documentation again .Its very easy to implement for beginners.The frequency of use is also high for me because I use it almost daily while coding.It helps with writing functions,fixing small mistakes and speeding up repetitive tasks which makes development smoother.It is ease of integration with tools like VS Code . Review collected by and hosted on G2.com.

One thing I dislike is that sometimes the suggestions look correct but dont fully match the requirement, so you still need to review the code carefully. Another small issue is that getting very specific help through customer support is not always instant , so sometimes you have to rely on documentation. Review collected by and hosted on G2.com.

What I like best about GItHub Copilot is how it provides real-time code suggestions that fit the context of what I'm working on. It saves a lot of time on repetitive coding and helps maintain flow without switching between tabs. It feels like a helpful assistant built right into the editor. Review collected by and hosted on G2.com.

One thing I dislike about GitHub Copilot is that some suggestions can be inaccurate, especially for complex logic or specific use cases. It sometimes requires careful review and adjustments. Improving consistency and understanding of edge cases would make it even better Review collected by and hosted on G2.com.

I like most about GitHub Copilot is its ability to generate accurate code suggestions in real time. It speeds up development, reduces repetitive coding tasks, improves code quality, and helps me learn new programming approaches efficiently. Review collected by and hosted on G2.com.

GitHub Copilot can occasionally provide incorrect or irrelevant code suggestions, requiring additional validation. It may also lack full project context, which can lead to less optimal solutions and increased review effort. Review collected by and hosted on G2.com.

What I like most is how much time it saves during development. The code suggestions are often accurate and help me avoid repetitive work, especially when I’m creating new components or working with unfamiliar libraries. Review collected by and hosted on G2.com.

It’s a huge productivity boost, even though the suggestions aren’t always correct. I still need to review the generated code carefully especially when it comes to complex business logic but it definitely helps speed up day-to-day development. Review collected by and hosted on G2.com.

I use GitHub Copilot regularly during backend development, mainly inside Visual Studio Code. One of the things I like most is how easy it is to start using. After installing the extension and signing in, it immediately begins suggesting code while you type, so there isn’t much setup required.

During my day-to-day work with Python APIs, Copilot helps by suggesting function structures, repetitive code, and common programming patterns. It is especially useful when writing helper functions, validation logic, or basic API endpoints. Instead of searching for syntax or examples online, I often get a useful starting point directly in the editor.

Another advantage is how well it integrates with the existing development workflow. Since I already work in VS Code with Git for version control, Copilot feels like a natural extension of the editor rather than a separate tool. I use it frequently while coding, and it helps maintain development flow and saves time on routine coding tasks. Review collected by and hosted on G2.com.

While Copilot is very helpful, the suggestions are not always perfect, especially for complex or project-specific logic. Sometimes the generated code needs to be adjusted to match the project’s structure or coding style.

Another thing to keep in mind is that developers still need to carefully review the suggested code before using it. I treat Copilot more as a coding assistant that helps speed up development rather than something that can fully replace manual coding. Even with that limitation, it is still very useful for reducing repetitive work. Review collected by and hosted on G2.com.

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.