Posts Tagged "production-ai"

Most builders assume end-of-turn detection is a silence threshold. That model breaks in production. The fix is architectural: four probabilistic events, speculative reasoning, and everything downstream cancellable.

The leap from AI-assisted coding to autonomous batch processing. Fresh context per task, filesystem locks, model routing, and orchestration that runs while you sleep.

Exponential backoff, dual timeouts, SSE heartbeats, idempotency caches — the unglamorous patterns that keep LLM-powered systems running at 3am.

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.

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.