Thoughts on software development, AI-assisted programming, and creative pursuits.
How optimizing for engineering elegance instead of agent consumption turned codetect v2 into a cautionary tale. The hard lessons from making everything "better" and destroying performance in the process.
Read more →How switching from line-based to AST-based chunking made codetect 15x faster and significantly improved code search quality. Part 3 of the codetect series.
Read more →Adding PostgreSQL, HNSW indexing, and better embedding models—and learning that chunking strategy matters more than model quality. Part 2 of the codetect series.
Read more →The origin story: building a local-first code search tool for Claude Code and other MCP-compatible LLMs to solve rising token costs and performance gaps. Part 1 of the codetect series.
Read more →A framework for human-AI collaboration, cognitive scaling, and efficient data access. Inspired by Tiago Forte's PARA method, this workflow unites AI and the human engineer into a shared cognitive system.
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