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.
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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.
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/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.
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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.
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