Skills for applying codified context to your own codebase
Two Claude Code skills for applying and maintaining the three-tier codified context architecture — what they do, how they work, and how to get started.
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Waaseyaa: building a Drupal-inspired PHP CMS with AI
What waaseyaa is, why it exists, and how planning with GitHub issues before coding changes the dynamic of building complex software with AI.
Cold memory: specs, MCP tools, and on-demand context retrieval
How subsystem specs and MCP retrieval tools handle architectural knowledge too large for hot memory — and why stale specs are worse than no specs.
Domain specialist skills: teaching AI to think like your senior dev
What specialist skills are, why the 50% domain knowledge rule matters, and how waaseyaa’s spec-backed orchestration keeps AI consistent across a 29-package PHP monorepo.
Writing a CLAUDE.md that actually works
How to structure your CLAUDE.md as a routing layer so AI agents always know where to look.
Why AI agents lose their minds in complex codebases
Token limits aren’t the real problem with AI in large codebases — inconsistent context is. Here’s what breaks and why a three-tier architecture fixes it.
Building a Codebase Cleanup Skill for Claude Code
How to write reusable Claude Code skills, featuring a codebase cleanup skill I built and ran on this very blog.
Drift in Cursor AI Rules
Learn how to prevent drift in Cursor AI rules to maintain accurate and relevant AI-assisted development workflows.