GitHub Copilot Reviews & Product Details

GitHub Copilot helps me write code faster by suggesting useful code snippets and reducing repetitive tasks, allowing me to focus more on solving problems and building features. Review collected by and hosted on G2.com.

Sometimes Copilot suggestions are not fully aligned with the project context, so the generated code still needs review and refinement before being used. 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 like GitHub Copilot because it saves a lot of time on repetitive tasks like writing boilerplate code or simple functions. Even writing test cases is much faster now with Copilot's assistance. The initial setup was smooth and straightforward, allowing us to get up to speed really quickly. Review collected by and hosted on G2.com.

The suggestions' quality can be pretty inconsistent at times. Sometimes it gives exactly what you need, but other times, the code is not optimal or off. Test cases are not always to the point. Review collected by and hosted on G2.com.

GitHub Copilot has made writing code much easier for me, and it has also helped speed up my code reviews, making the whole process noticeably faster. Review collected by and hosted on G2.com.

I don’t have anything I dislike about it. I really love this tool. Review collected by and hosted on G2.com.

GitHub Copilot feels like a smart coding partner that understands context and suggests accurate code instantly. It helps reduce repetitive work and speeds up development significantly.Overall,it makes coding more efficient, easier and more enjoyable Review collected by and hosted on G2.com.

Sometimes GitHub Copilot generates suggestions that feel generic or not perfectly aligned with the intended logic. It may also struggle with highly specific or complex requirements. 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.

What I like best about GitHub Copilot is how it accelerates development by generating relevant code, boilerplate, and suggestions directly in the editor. It reduces context switching, improves productivity, and helps maintain consistency across the codebase, especially during repetitive or complex implementation tasks. Review collected by and hosted on G2.com.

The main downside of GitHub Copilot is that suggestions can sometimes be inaccurate or overly generic, requiring careful review. It may also generate unnecessary code if prompts are not precise, and it’s less effective for understanding complex business logic or project-specific context. Review collected by and hosted on G2.com.

The agent mode is quite helpful for coding, as it eliminates the need for copy-pasting. All we have to do is type in our requirements, and it generates the code for us. Our main task is simply to validate the code it produces. Review collected by and hosted on G2.com.

Sometimes, it goes a bit off track when I try to generate documentation for a Java application. It tends to hallucinate and produces information that isn't accurate. Review collected by and hosted on G2.com.

I use GitHub Copilot for the creation and maintenance of automation frameworks. It helps in enhancing methods and optimizing patterns by making them compatible with the framework, following coding standards, and making the created methods reusable throughout pages. I also appreciate the parameterization, which applies as needed and covers all conditions for the best test coverage. The enhancement in framework design is particularly valuable to me, as it ensures that the methods are reusable and adaptable. Review collected by and hosted on G2.com.

It requires more than two or three prompts and sometimes gives general answers not compatible with the existing solution. Wherever a question is asked, the answer should be given and applied based on that. Review collected by and hosted on G2.com.