Book: AI That Reads The series: AI in TypeScript — 5 books, from your first LLM call to agents in...
Batch embedding at scale introduces a position-based mapping bug in retries: embeddings silently shift across chunks, subtly degrading search recall without test detection. Safeguard with API index fields and ON CONFLICT idempotent writes.
Book: AI That Reads
The series: AI in TypeScript — 5 books, from your first LLM call to agents in production — all five here
My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools
Me: xgabriel.com | GitHub
Embedding a large corpus is a job that looks like a for loop and
Book: AI That Reads The series: AI in TypeScript — 5 books, from your first LLM call to agents in...
Book: AI That Plans The series: AI in TypeScript — 5 books, from your first LLM call to agents in...
Book: AI That Answers The series: AI in TypeScript — 5 books, from your first LLM call to agents...
Building a production AI agent in TypeScript with Mastra: a 2026 step-by-step. I spent an...
Most agent bugs are in your loop, not the model. A scripted fake client that makes runaway loops, tool errors and budget stops…
Book: AI That Plans The series: AI in TypeScript — 5 books, from your first LLM call to agents in...
