Implement per-user token budgets, tiered model access, request queuing, cost attribution, real-time dashboards, and anomaly detection to prevent AI bill shock.
Deep dive into Bun's production readiness, benchmarks against Node.js, and practical migration strategies with real compatibility gaps and when to migrate.
Build comprehensive LLM observability using LangSmith, Langfuse, span instrumentation, and LLM-as-judge evaluations to catch quality regressions and optimize performance.
Implement zero-downtime secrets rotation with AWS Secrets Manager, blue/green secret versions, and automated password rotation for PostgreSQL and API keys.