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DEVIKA
Open-source AI software engineer
MIT
ABOUT
Complex software engineering tasks — implementing features across multiple files, debugging production issues, or refactoring large codebases — require understanding context that spans the entire project. Traditional tools help with individual edits but break down on end-to-end tasks that require planning, multi-file changes, and iterative testing. Devika solves this as an agentic software engineer that takes natural language requirements, researches the codebase, plans the implementation, and executes changes autonomously. It brings the same structured approach as a human engineer — understand, plan, build, test — to every software task.
INTEGRATION GUIDE
1. Implement new features from natural language descriptions with automatic multi-file changes
2. Debug and fix production bugs by tracing through the call stack and verifying the fix
3. Refactor existing code to improve maintainability while preserving all functionality
4. Generate tests for existing code to improve coverage across the project
5. Onboard to new projects by asking Devika to explain code architecture and generate starter implementations
TAGS
coding-agentagentaisoftware-engineeringopen-sourcedeveloper-toolsautonomous-coding