GitHub Copilot Reviews & Product Details

- 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.

I love the way Copilot helps me fix minor issues in my codebase quickly. Before using Copilot, I used to find out the workaround by copying the error message and finding a similar solution on Stack Overflow. Now, I mostly fix my code and generate skeleton code for a new implementation with Copilot. Review collected by and hosted on G2.com.

Sometimes, I have to be very specific or prompt multiple times to find out the correct workaround or solution to the problem I am facing. If Copilot had some sort of contextual understanding based on my whole repo, it would have been better. 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 It also occasionally recommends outdated or less-than-optimal patterns, and the subscription cost can feel steep for individual developers or small teams.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.

I like how GitHub Copilot speeds up coding by autocompleting complex functions, generating scratch code, and suggesting context aware algorithms in real-time, making software development fun and engaging. It's amazing how it suggests smarter ways to structure my existing code. It's like having a brilliant coding assistant that never exhausts, helping me stay productive and focused. The initial setup was also very easy, just installed its official extension on our IDEs, and we were generating code for our projects on the breeze. Review collected by and hosted on G2.com.

Sometimes Copilot suggests code that doesn't fit in our product architecture, so we still need to tweak it. It can also struggle with our in-house libraries, and occasionally autocompletes insecure patterns if not careful. Smarter context awareness and better handling of custom libraries would make it even better. Review collected by and hosted on G2.com.

I like how easy GitHub Copilot is to use. Basically, I can just drag what I'm facing an issue with and directly chat with it to resolve the problem. It resolves everything in one place, making it easily available without needing to switch to other platforms like ChatGPT. This consolidation makes it a lot easier for me since everything is at one place, which simplifies the process and makes my life easier. Review collected by and hosted on G2.com.

Many times, when I want to do a simple change, GitHub Copilot creates multiple documentation files, which are unnecessary for small changes. It's a lot, especially when I'm in a hurry. Also, sometimes the logic it writes isn't correct, and I have to guide it, which feels very childlike at times and requires me to lay down my plans very specifically. Review collected by and hosted on G2.com.

I love how it seamlessly integrate with GitHub repositories to access all my projects which helps with issue resolution for those projects. I like it for autocompletion which works with massive programming languages I can fathom how it know its just incredible. Ease of use. Fantastic for faster and clean coding experience. Great for asking any questions and i get an instant response with several prompts generated for me. Effective for sparking my creativity to turn my ideas into an app. Review collected by and hosted on G2.com.

It has very dependable with instant feedback for every programming questions and love it for it's free. Review collected by and hosted on G2.com.

GitHub Copilot has genuinely transformed how I approach coding as an ECE student. The AI-powered suggestions are incredibly smart and context-aware, often predicting exactly what I'm trying to implement. It's like having an experienced developer pair programming with me 24/7. I use it extensively in VS Code for my university projects and personal open-source contributions, and it has dramatically reduced the time I spend on boilerplate code and common patterns. What really stands out is how it helps me explore different approaches to solving problems - when I'm stuck, Copilot often suggests alternative implementations I hadn't considered, which has been invaluable for learning. The integration is seamless, and the inline suggestions appear naturally as I type without interrupting my workflow. It's particularly helpful when working with new libraries or APIs, as it can generate correct syntax and function calls based on comments or partial code. For embedded systems projects and hardware interfacing code, it has saved me countless hours of documentation lookup. The productivity boost is real - I estimate it cuts my coding time by at least 30-40% while actually improving code quality. Review collected by and hosted on G2.com.

While GitHub Copilot is fantastic overall, there are a few minor areas for improvement. Occasionally, the suggestions can be a bit too aggressive, completing entire blocks when I only wanted a single line, which means I have to be careful about accepting suggestions blindly. The quality of suggestions can vary depending on the programming language - it's excellent for Python and JavaScript but sometimes less accurate for niche embedded systems code or specific hardware libraries. There's also a learning curve in understanding when to trust the AI versus when to verify its suggestions, especially for complex algorithms or security-sensitive code. The subscription cost might be a barrier for some students, though the free student plan helps. Lastly, it requires an internet connection to work, which can be inconvenient when coding offline. Despite these minor issues, the benefits far outweigh the drawbacks. Review collected by and hosted on G2.com.

I use GitHub Copilot inside my VS Code to assist in my coding tasks, and I really like that it's easy to use without needing to change tabs or anything. It takes context from my current file, or I can choose which file to take context from, which is very useful. I also find that Copilot is more accurate and generates quality code compared to what I used before. The initial setup was very easy. Review collected by and hosted on G2.com.

I don't like that GitHub Copilot can't write or generate code inside VS Code via an image. I'd also love a feature to generate boilerplate code from Figma and the ability to upload images. Review collected by and hosted on G2.com.