GitHub Copilot Reviews & Product Details

GitHub copilot is really helpful for speeding up coding and routine tasks. As someone who uses it frequently, I like how it suggests code while I'm typing and helps with small functions, syntax or repetitive parts of the code. The UI feels clean and blends well into tools like VS Code and the integrations with different IDEs make it very convenient to use. It saves time, reduces manual effort and helps maintain a smooth workflow when working on scripts or development tasks. Review collected by and hosted on G2.com.

One slight downside of GitHub copilot is that the suggestions are not always accurate so I still need to review and adjust the code instead of relying on it completely. Review collected by and hosted on G2.com.

Copilot has managed to develop into a fully agentic tool, which is great for agentic coding and development. It’s no longer just an AI assistant, and that completely changes how I can use it day to day. Support for MCP servers, skills, agnets.md, and similar pieces also makes it easier to use alongside other agentic tools.

The UI is fairly intuitive, and I like how it’s directly wired into VS Code. It doesn’t feel like “just an extension” anymore; it feels like a core feature of VS Code now.

The usage limits are also really generous considering the pricing, especially when you compare them to Claude Code, for example. Copilot clearly wins here for me by a lot. Review collected by and hosted on G2.com.

I dislike the data retention policy for Copilot coding agents and Copilot CLI. The retention period is far too long, especially given how much sensitive information is being shared, such as source code. I think they should reconsider this and make changes. It’s not that I don’t trust GitHub, but given the industry I work in, the idea that our data could be stored somewhere for extended periods of time is unacceptable. Review collected by and hosted on G2.com.

Very good Integrations as it's connect most product that a developer like me used like Github, VSCode, Vercel... UI / UX pretty good too, easy to use. AI / Intelligence is not so good, they removed Opus 4.6 over Pro Plan, and pushing subscription to a higher plan price just to use Opus of Claude.

Performance quiet good, I have nothing to complaint as they stable, and always up. Support helpful. Yeah Github Copilot hấ built-in with vscode is so great to coding Review collected by and hosted on G2.com.

They suddenly removed Claude model on their Pro Copilot Plan, and pushing subscription to a higher plan price just to able use some Opus model of Anthropic and Claude. Suddendly increase pricing and remove model from copilot pro that upset our developer Review collected by and hosted on G2.com.

Its ability to speed up development by providing context aware code suggestions, reducing repetitive coding tasks, and helping me explore new frameworks and APIs more efficiently Review collected by and hosted on G2.com.

while GitHub copilot is very helpful, its suggestions are not always accurate or optimized. It can sometimes generate outdated patterns, insecure code, or solutions that don't fully match the intended logic. The generated code still requires careful review, testing, and validation before use Review collected by and hosted on G2.com.

Honestly, the biggest win for me is the time it saves. The autocomplete is scarily good — it doesn't just finish a line, it'll suggest entire functions based on a comment I wrote.

It also keeps me in flow. I'm not jumping to Stack Overflow every few minutes for syntax help, especially in languages I don't use daily.

And writing tests? Way less painful now. Copilot handles a lot of that grunt work.

Overall, it just makes me a faster developer. Review collected by and hosted on G2.com.

The suggestions are sometimes just wrong. Like confidently wrong. If you're a junior dev and you don't catch it, that bad code is going into production.

It also struggles with complex logic. Simple stuff it nails, but anything highly specific to your business logic — it kind of falls apart.

Privacy is a concern too. Your code is being sent to external servers, which is a dealbreaker for some companies with sensitive codebases. Review collected by and hosted on G2.com.

I like GitHub Copilot because it makes coding faster and easier. It helps with writing code, fixing bugs, and understanding things I’m not familiar with. It also saves time on repetitive tasks and helps me get ideas into working code more quickly. Review collected by and hosted on G2.com.

Sometimes Copilot’s suggestions aren’t accurate or don’t fully understand the context, so I still need to review and fix the code. It can also be distracting when it suggests too much or gives solutions that aren’t the best approach. Review collected by and hosted on G2.com.

GitHub Copilot helps us troubleshoot coding issues and suggests possible next steps when we encounter errors. It assists with code reviews, optimization, and generating code, which helps improve developer productivity. It can also provide recommendations for performance optimization and, in some cases, help identify opportunities to optimize costs. One of its key advantages is its seamless integration with Visual Studio Code, making it easy to use within the development environment. Additionally, it can assist in building UI/UX components by generating code and design suggestions. Since my company provides the subscription, I am not familiar with its pricing plans. Review collected by and hosted on G2.com.

Not really. It has been very helpful in my day-to-day work. It assists with code generation, debugging, code reviews, and optimization, which helps improve productivity and reduces development time. Overall, I have had a positive experience using it. Review collected by and hosted on G2.com.

the power of Copilot for GitHub is a true force multiplier and is especially powerful, given the richness of the GitHub context. Some other fantastic features are the ability to choose from a wide range of models, so that you can find the one best suited to the task at hand. For coding, being able to save and refine prompts for reuse is also an incredible efficiency and produtivity driver. Review collected by and hosted on G2.com.

probably the ease with which a pilot/person can burn through tokens. it takes some training and awareness on best practices and how to actually use the tool, so that it isn't very incredibly cost-ineffective. there are not a lot of guardrails to prevent uninformed or untrained users from wasting resources. also, because it's such a powerful tool, it is probably easier for users to assume that it's always free from mistakes and errors and gives a false sense of false security. 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.

It was the first full IDE AI solution we used when AI started rolling out. They’ve done a great job keeping both the UI and the underlying features up to date as the AI landscape has evolved. Instead of letting the feature set stagnate, they’ve continued to incorporate changes like skills, instructions, MCP, and similar updates. Review collected by and hosted on G2.com.

Nothing major, aside from a few stability issues that sometimes cause the models to fail. That said, I suspect this is more related to the growing popularity and overwhelming demand for AI than to an actual problem with the product itself. Review collected by and hosted on G2.com.