Github Copilot

Your AI pair programmer

4.7•26 reviews•

1.1K followers

Your AI pair programmer

4.7•26 reviews•

1.1K followers

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AI Coding Agents

•

AI Code Editors

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.

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Promoted

Github Copilot Launches

Rubber DuckCross-model reviews in GitHub Copilot CLI

Launched on April 9th, 2026

Github Copilot CLICopilot's response to Claude Code and Codex CLI

Launched on September 27th, 2025

GitHub Copilot for RaycastDelegate tasks and track progress from Raycast

Launched on September 1st, 2025

GitHub Copilot Coding AgentAgent that implements a task/issue + runs in the background

Launched on May 20th, 2025

GitHub Copilot ChatAI chat features powered by Copilot

Launched on January 31st, 2024

View all Github Copilot launches

4.7

Based on 26 reviews

Review Github Copilot?

Reviewers largely see GitHub Copilot as a strong, low-friction coding assistant that works best inside the editor, speeding up boilerplate, repetitive work, API building, and quick learning across languages. Many say it helps them stay in flow, follow file-level patterns, and focus more on logic than syntax. But praise is tempered by a familiar complaint: suggestions can be generic, buggy, or confidently wrong, so output still needs review and refinement. Several users add that it has improved a lot, though some still prefer other tools for bigger, multi-file reasoning tasks.

+24

Summarized with AI

Pros

productivity boost (6)

focus on problem-solving (4)

suggests code snippets (4)

accelerates development process (3)

integrates with major IDEs (2)

transforms development experience (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•28 reviews

What's great

productivity boost (6)suggests code snippets (4)focus on problem-solving (4)

It lives right where you're already working. No context switching, no copy-pasting into a chat window, it just suggests the next line or block as you type. For boilerplate and repetitive patterns it's a genuine time saver. The tab-complete flow becomes second nature fast, and it's surprisingly good at picking up on the conventions in your current file. It won't architect a feature for you, but for the moment-to-moment grind of writing code it removes a lot of friction.

What needs improvement

The suggestions can be confidently wrong, which is worse than no suggestion at all because you end up accepting something that looks right and only catch the bug later. It also struggles with anything project-specific, if you have custom abstractions or unusual patterns it'll keep suggesting the generic version. The chat feature inside VS Code feels bolted on compared to dedicated tools. And pricing for teams adds up quickly when half the value is just autocomplete.

vs Alternatives

Codex by OpenAI Cursor

Cursor

Claude Code

Use Claude Code and Cursor as well, and honestly they're better for bigger tasks like multi-file refactors or reasoning through a problem. But Copilot fills a different role. It's the autocomplete layer, always on, zero effort. Tried Tabnine and Codeium before settling on Copilot. Tabnine felt slower and less accurate. Codeium was decent but the suggestions weren't as context-aware. Copilot just has the best hit rate for useful completions.

Ratings

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