Amazon Q Developer vs Cody
Which Code Assistant is right for you? See our complete breakdown.
| Feature | Amazon Q Developer | Cody |
|---|---|---|
| MegaOne Score | 4/10 | 4/10 |
| Category | Code Assistant | Code Assistant |
| Pricing Model | Freemium | Paid Only |
| Starting Price | $19.00/mo | $59.00/mo |
| Free Tier | Yes | No |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Amazon Web Services | Sourcegraph |
| Total Funding | $8.1B | $223M |
Visual Comparison
About Amazon Q Developer
Amazon Q Developer is an AI coding assistant that helps developers build, operate, and transform software by automating tasks within IDEs and the AWS console.
Amazon Q Developer is a generative AI-powered assistant designed for software developers and IT professionals, offering real-time code suggestions, bug scanning, and automated code reviews. It integrates with popular IDEs and the AWS Management Console, providing deep AWS context, code transformation capabilities (e.g., Java upgrades), and agentic features for multi-step tasks like feature implementation and test generation. The tool is built with enterprise-grade security and compliance in mind, making it suitable for regulated environments.
About Cody
Cody is an enterprise AI coding assistant by Sourcegraph that leverages deep codebase context to help developers write, understand, and maintain code across multiple repositories.
Cody is an AI-powered coding assistant designed for enterprise teams, integrating with IDEs like VS Code and JetBrains. It utilizes Sourcegraph's code intelligence platform to provide context-aware code completions, answer technical questions, generate code, and assist with debugging and documentation across an organization's entire codebase, including multiple repositories. Cody aims to enhance developer productivity and ensure consistency and quality at scale.
It's a Tie
Both Amazon Q Developer and Cody scored 4/10 in our analysis. Your choice depends on specific needs — check the feature comparison above to see which fits your workflow better.