Devin vs Greptile
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
An autonomous AI software engineer
Best forEngineering teams handling large, complex, multi-repository projects and modernizations
What it doesDevin, by Cognition, is an autonomous AI software engineer available via cloud, desktop, and CLI. It handles tasks such as code migrations, refactors, pull request review, bug fixing, and documentation, and integrates with tools like GitHub, Linear, and Slack.
Capabilities- Code migrations and large-scale refactors
- Pull request review and visual QA
- Bug fixing and incident resolution
- Integrations with GitHub, Linear, Slack and Datadog
- Learns codebases over time
Visit Devin →AI agents that review and test pull requests with full codebase context
Best forEngineering teams that want context-aware, codebase-wide PR review and test generation
What it doesGreptile builds a graph index of a codebase and runs parallel agents to catch bugs, security issues, and logical errors across pull requests. It learns team standards over time and integrates with GitHub, GitLab, and AI editors.
Capabilities- Multi-file bug and security detection
- Learns team coding standards from PR comments
- Autonomous test generation and runs
- One-click fixes in Claude Code and Cursor
- Self-hosted and SOC 2 enterprise options
Visit Greptile →How to choose
Choose Devin if you are engineering teams handling large, complex, multi-repository projects and modernizations. Choose Greptile if you are engineering teams that want context-aware, codebase-wide pr review and test generation. Both sit in Coding; the right pick depends on your exact workflow and budget.
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