Github Copilot
Your AI pair programmer
GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you. Powered by OpenAI its trained on billions of lines of public code, saving you time and helping you stay focused.
Reviews for Github Copilot
Hear what real users highlight about this tool.
Reviews portray Github Copilot as a dependable productivity boost, especially for reducing boilerplate, surfacing relevant completions, and accelerating launches. Makers of Beatoven.ai praise its accurate, context-aware suggestions and seamless IDE fit; makers of Crono highlight smoother development and faster problem-solving; makers of Bolt note broad IDE support and strong boilerplate generation. Users report major gains in mature codebases and PR workflows, with quicker exploration across languages. Critiques cite occasional isolation from broader repos and suggestions that need refinement, but momentum and reliability are improving.
This AI-generated snapshot distills top reviewer sentiments.
The best AI Coding assistant, we could ship in days what previsouly would have needed months, ans integrated in DevTools.
In Visual Studio, Copilot isn’t just aware of your code; it understands your work. With full context across your solution, repo, and tools, it helps you move faster, think bigger, and build with confidence.
Our favorite in IDE pair programmer to work with, the integration with VS Code made our time to market Pommmo a lot quicker! Ask mode in VS code really felt like chatting with another programmer :)
GitHub Copilot has become an essential part of my workflow; it saves time by suggesting accurate code snippets and helps me stay in flow while coding. I love how it understands context and works smoothly across languages in VS Code. Sometimes, the suggestions can be off or too generic, but overall, it keeps improving with use. It’s great for boosting productivity and learning new coding patterns. Definitely worth trying for any developer looking to code smarter, not harder.
The integration of Copilot in Github is probably one of the most powerful. It's the only one I've been using that really takes the whole app in context, build the features or fixes you want the same way you would have done it and can iterate correctly on the feedback.
Accelerated development significantly with intelligent code suggestions, helping us ship faster and write better code.
GitHub Copilot accelerated our development workflow by turning ideas into code faster. It’s like having an AI teammate inside VS Code.
Copilot helped streamline plugin development — a great coding assistant that made building CopySpell AI smoother and faster.
Copilot filled in the small gaps -> especially repetitive code and quick refactors. It’s like having a quiet pair-programmer always on standby.
A huge shoutout to GitHub Copilot for being our coding sidekick throughout Relio’s development. From boilerplate to bug fixes, Copilot helped us ship features faster and focus on what matters most—delivering value to our users!
GitHub Copilot is the real MVP. It has easily doubled the development speed. It's not just an autocomplete; it's a true pair programmer that helps us solve problems faster and focus on building core features instead of writing boilerplate code.
GitHub Copilot speeds up our coding workflow by suggesting context-aware code in real time. Unlike other tools, it integrates seamlessly in our IDE and feels like a natural pair programmer.
GitHub Copilot was an essential partner in building this. It was amazing for quickly writing boilerplate code, generating docstrings, and suggesting different ways to approach functions. It probably saved me hours of searching Stack Overflow.