Devin
By Cognition
Autonomous AI engineer for complex software tasks
- Pricing:
- Free
Overview
Devin is an autonomous AI software engineer that works alongside engineering teams to plan and execute complex engineering tasks. From code migrations to on-call incident resolution, Devin can be asked to build features, fix bugs, or work directly on your codebase.
Devin automates PR review and visual QA, automatically identifying and resolving bugs through full browser and desktop use, while intelligently organizing code diffs for review. It auto-generates documentation and system diagrams for legacy codebases via DeepWiki, giving comprehensive visibility into systems your team hasn't built. For code migrations and refactors, assign a fleet of agents to migrate all repositories in parallel, accelerating modernizations for COBOL, .NET, Talend, legacy ETL, and more—with complete audibility at each step.
Devin also handles scheduled chores and application development, including daily QA, release notes, continuous review of user feedback, and documentation maintenance. It investigates Datadog incidents immediately, intelligently routes Slack bug reports, and automatically fixes CI failures. Industry leaders choose Devin to build with them, making it the go-to autonomous engineer for modern software teams.
Core capabilities
- Autonomous engineering
- Devin is an autonomous AI software engineer that works alongside engineering teams to plan and execute complex engineering tasks.
- PR review & visual QA
- Automatically identify and resolve bugs, perform visual QA with full browser and desktop use, and intelligently organize code diffs for review.
- Documentation generation
- Auto-generate documentation and system diagrams for legacy codebases, providing comprehensive visibility into systems via DeepWiki.
- Code migration & refactoring
- Assign a fleet of agents to migrate all repos in parallel, accelerating modernizations for COBOL, .NET, Talend, legacy ETL, and more, with complete audibility at each step.
- Scheduled chores & app development
- Schedule daily QA and release notes, continuously review and address user feedback, and maintain documentation.
- Issue triage & bug fixing
- Investigate Datadog incidents immediately, intelligently route Slack bug reports, and automatically fix CI failures.
- On-call incident resolution
- Plan and execute complex tasks including on-call incident resolution across engineering workflows.
Use cases
- Code migration and refactoring across all repositories in parallel
- Auto-generating documentation and system diagrams for legacy codebases
- PR review and visual QA with automatic bug identification and resolution
- Scheduled daily QA, release notes, and documentation maintenance
- Issue triage and bug fixing from Datadog incidents, Slack reports, and CI failures
- On-call incident resolution for complex engineering workflows
Who it's for
Engineering teams seeking autonomous assistance, Engineering leaders looking to accelerate modernizations, Developers needing help with PR review and bug fixing, DevOps and on-call teams handling incident resolution, Technical documentation teams managing legacy systems, Enterprises with large-scale code migration needs
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