CodeDNA
Context Engineering for Coding AI Agents.
CodeDNA is an open source framework that provides coding AI agents with structured context about your codebase — its architecture, conventions, patterns and dependencies. By engineering the context AI agents receive, CodeDNA helps them generate code that truly fits your project.
Coding AI agents lack context
Current AI coding tools generate code in isolation, without understanding the unique architecture, patterns and conventions of your project.
Wrong Patterns
AI generates code using generic patterns that don't match your project's established conventions and architecture.
Inconsistent Style
Generated code doesn't follow your team's naming conventions, file structure or coding standards.
Missing Dependencies
AI doesn't know about the utilities, helpers and shared modules already available in your codebase.
Engineer the context
CodeDNA structures and provides the right context to coding AI agents so they produce code suited to your project.
Architecture Mapping
Automatically maps project structure, service boundaries and the dependency graph for complete context.
Convention Extraction
Extract and encode coding conventions, naming patterns and architectural decisions into structured context.
Agent Integration
Works with the most popular coding AI agents and tools, providing structured context that improves code generation quality.
Built for the community
CodeDNA is open source and available on GitHub. We believe Context Engineering is a fundamental element for the future of AI-assisted development, and should be accessible to every developer and team.
Contributions, issues and feature requests are welcome. Star the repository to stay updated on new releases and features.
Give context to your AI agents
Explore CodeDNA on GitHub and start engineering the context your coding AI agents need to generate better code.