Head-to-Head Comparison
Augment Code vs GitHub Copilot
Which Code Assistant is right for you? See our complete breakdown.
Feature Comparison
| Feature | Augment Code | GitHub Copilot |
|---|---|---|
| MegaOne Score | 5/10 | 8/10 |
| Category | Code Assistant | Code Assistant |
| Pricing Model | Paid Only | Freemium |
| Starting Price | $20.00/mo | $10.00/mo |
| Free Tier | No | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Augment Inc. | GitHub |
| Total Funding | $252M | $7.5B |
Visual Comparison
Augment Code GitHub Copilot
About Augment Code
Augment Code is an AI coding assistant built for professional software engineers and large, complex codebases.
Augment Code is an enterprise AI coding platform featuring a proprietary Context Engine that deeply understands entire codebases, including dependencies and change history. It provides AI-powered coding agents, a chat interface, and automated code review, integrating with IDEs like VS Code and JetBrains, as well as a CLI tool called Auggie. The platform aims to accelerate development, reduce errors, and improve code quality by offering context-aware suggestions and autonomous iteration capabilities.
About GitHub Copilot
GitHub Copilot is an AI pair programmer that provides real-time code suggestions and automates development tasks directly within the IDE.
GitHub Copilot is an AI-powered coding assistant developed by GitHub and OpenAI, integrating into various IDEs to offer code completions, conversational chat, and autonomous code editing. It draws context from comments and code to suggest individual lines, functions, and even entire multi-file changes, significantly accelerating development workflows and assisting with tasks like test generation and code review.
The Verdict
GitHub Copilot takes the edge
With a MegaOne score of 8/10 versus 5/10, GitHub Copilot edges ahead of Augment Code in our analysis. However, Augment Code may still be the better choice depending on your specific use case and budget.
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