GitHub Copilot Reviews & Product Details

I really like that GitHub Copilot was the first to launch something like this, making a big step in integrating AI into coding. Its easy integration with Visual Studio and many other things is something I appreciate. I enjoyed asking questions in natural language and it answering through AI, which was impressive to see from a non-technical background. The initial setup was also really easy, just like a tab where you register and pay annual payments, making it simple to have and install. Review collected by and hosted on G2.com.

I find the quality of the generated codes by GitHub Copilot to be really disastrous and not effective or efficient. I didn't like the quality of the codes they are generating and it was really an awful experience. I would advise them to use the latest AI models. The coding lines written by them are not effective, and when I used another provider with the same prompt, the effectiveness was clearly distinct. Review collected by and hosted on G2.com.

I like GitHub Copilot because it means I don’t have to do everything entirely by myself. I’ve been using it for a while, and the AI feels very well trained and exposed to many data repositories, which makes it genuinely helpful. It’s especially useful for debugging and for writing lots of code, and it helps automate repetitive tasks when I run into issues in my own code. I also find it valuable because it seems to have more coding data than other tools and is clearly built for people who code every day. Even when I make mistakes or I’m following tutorials, it still helps by offering autocomplete and suggestions that keep me moving forward. Review collected by and hosted on G2.com.

At this point, the pricing feels a bit high for what it’s providing, especially given the current competitive market. Review collected by and hosted on G2.com.

I use GitHub Copilot regularly for college projects and personal development work in VS Code. It helps me write code faster by suggesting functions, logic, and boilerplate—especially in languages like Python, JavaScript, and Java. I find it particularly useful for repetitive tasks, API usage, and quick scaffolding, which saves me a lot of time during assignments and practice projects. Review collected by and hosted on G2.com.

Sometimes it provides inaccurate information, so we still have to manually verify everything before using it. Review collected by and hosted on G2.com.

GitHub Copilot is easy to set up and I like that it integrates with VS Code. It's functionality has improved significantly over the past year and it genuinely makes a lot of tasks easier. I'm a fan of using it for planning and reviewing complex work to help find possible issues early on. Review collected by and hosted on G2.com.

Lately I've been hitting something that feels like a rate limit when the agent stops, in I have to prompt it to keep going. I'm not certain if this is a bug or a feature. Review collected by and hosted on G2.com.

I like using GitHub Copilot for writing code faster, generating boilerplate code, creating Spring Boot APIs, React components, and suggesting SQL queries and unit test cases. It's very helpful in providing quick code suggestions while writing Java, Spring Boot, and React applications. I appreciate its ability to reduce manual effort by generating repetitive code and giving good recommendations for logic implementation. I love its smart code auto-completion, real-time suggestions in the IDE, and the ability to generate complete methods, classes, and boilerplate code. It stands out in helping with Spring Boot REST APIs, JPA repository queries, React components, and unit test cases. The best aspect is that it understands code context and quickly suggests optimized solutions, which saves significant development time and boosts productivity. I also enjoy the smooth integration with IntelliJ IDEA, where it delivers real-time code suggestions. The initial setup was smooth and user-friendly, making the onboarding process straightforward and quick. Review collected by and hosted on G2.com.

Sometimes GitHub Copilot suggestions are not fully accurate for complex business logic and may generate code that needs manual validation. It can also suggest outdated or unnecessary code patterns, and occasionally, the recommendations are repetitive. For large projects, it may not always be possible to understand the complete application context, so developers still need to review security, performance, and coding standards before using the generated code. Review collected by and hosted on G2.com.

GitHub Copilot significantly speeds up development by providing intelligent code suggestions directly inside the IDE. It is especially helpful for writing repetitive code, generating boilerplate, and assisting with C#, .NET, JavaScript, and MVC patterns. Copilot integrates seamlessly with Visual Studio and helps maintain focus by reducing context switching and manual searching. Review collected by and hosted on G2.com.

While Copilot is very useful, its suggestions are not always optimal and still require careful review, especially for complex logic or security-sensitive code. It can sometimes suggest code that does not fully match project conventions or best practices, so developer oversight is always necessary. Review collected by and hosted on G2.com.

- Inline code completions: Copilot suggests entire functions or code blocks directly in your IDE (VS Code, JetBrains, Xcode, etc.), turning comments or partial lines into working code.

- Copilot Chat: A conversational interface inside the editor where you can ask coding questions, request explanations, or generate snippets — making it feel like you have a mentor on demand.

- Context awareness: It adapts to the open files, imports, and naming conventions in your project, so suggestions feel tailored rather than generic.

- Rapid prototyping: Great for scaffolding new functions, validating ideas, or spinning up test cases without breaking flow.

- Multi‑language support: Copilot helps across many languages and frameworks, easing transitions between tech stacks. Review collected by and hosted on G2.com.

- Cost and licensing

- Copilot is a paid subscription, which can be a barrier for students, hobbyists, or small teams.

- Organizations must weigh whether the productivity boost justifies the recurring expense. Review collected by and hosted on G2.com.

GitHub Copilot significantly boosts my productivity by suggesting relevant code in real time and cutting down on repetitive boilerplate. It integrates smoothly with my editor, understands the surrounding context well, and is particularly useful when I’m learning new languages, frameworks, or APIs. Overall, it feels like a reliable pair programmer that helps me move faster and stay in flow without constant interruptions. Review collected by and hosted on G2.com.

Copilot’s suggestions aren’t always accurate and can sometimes generate code with logical, security, or performance issues, so I still need to review everything manually. It also occasionally recommends outdated or less-than-optimal patterns, and the subscription cost can feel steep for individual developers or small teams. Review collected by and hosted on G2.com.

I like that GitHub Copilot understands the context of what I write and suggests relevant code in real-time, which allows me to program faster without having to leave VSCode to search on Stack Overflow or in the documentation. I also appreciate that it helps me write code faster by suggesting complete functions, assists me with syntax I don't remember well, and is especially useful with Node.js and Python in my personal and professional projects. It saves me time on repetitive and boilerplate code, and it's great for recalling API syntax that I don't use frequently. Additionally, it allows me to explore different solutions when I'm stuck and ensures that the generated code is consistent with my styles, respecting error handling patterns and the use of async await. Review collected by and hosted on G2.com.

Sometimes the suggestions are incorrect or do not compile, so I have to review them always. Also, the context is limited to the open files, it does not understand the entire architecture of the project. Review collected by and hosted on G2.com.

I find GitHub Copilot to be a pretty good tool for writing my code as a full stack developer. It helps me a lot to write code faster and more efficiently, especially when it comes to fixing bugs and creating new features for my applications at work. It's pretty fast to generate code, where tasks that might take two to three days can be completed within an hour or a day with Copilot. This speed helps me to finish my projects and bug fixes quickly without having to wait a long time. I appreciate the agentic mode feature, which really reduces my time in creating code bases and completes the tasks very fast. Review collected by and hosted on G2.com.

Sometimes when I'm creating code, it stops while generating, saying it reached a limit of 70. I have to click the continue button to resume work. It would be better if the token limit for generating code was higher or if it could resume automatically. Also, sometimes it doesn't understand what I'm saying, especially with my broken English, so I have to be very precise with instructions. I also struggle a bit with the UI. Review collected by and hosted on G2.com.