Blog Archive

Sub-10ms AI Responses Without Calling the LLM

Users ask similar questions in different words. Semantic caching with pgvector turns repeated intent into instant answers — no LLM call, no embedding, no retrieval pipeline.

Your AI Forgot What You Said 30 Messages Ago

Context windows fill up fast in long AI conversations. Sliding windows, progressive compression, and token budgeting — the patterns I built before I knew their names.

/plan-issue: Collaborative Planning with AI

Vague instructions produce vague implementations. How I sit with the AI to refine rough ideas into concrete, implementable specs — before any code gets written.

AI-Assisted Development: A Loop, Not a Chat

The bottleneck isn't the AI — it's me. Three slash commands that form a loop: Plan, Work, QA. How structured phases replaced ad-hoc chatting and made AI development manageable.