Unlocking AI Potential in Architectural Decisions
AI assistants are reshaping how we approach architecture, but there’s a critical gap. They often make architectural choices without a true understanding of the underlying structures. This can lead to:
- Misguided paths
- Lack of awareness about module ownership
- Unable to trace blast radius of changes
To address this challenge, I developed Mikk—a codebase context engine that empowers your AI with the architecture it critically needs. Mikk provides:
- Dependency graphs and module boundaries
- Blast radius analysis
- Architectural contracts
- A live MCP server for real-time querying
How are others navigating this landscape? From CLAUDE.md to RAG pipelines and context window tricks, the conversation is evolving.
🔍 Join us on this journey! Explore Mikk here and share your thoughts on effective solutions for non-trivial codebases! Let’s innovate together!
