Content Lane
Production engineering, infrastructure automation, incident learning, context engineering, agent evaluation, and observability.
Why choosing a model per workload belongs in configuration, why the routing table has to be benchmarked through the full harness rather than guessed, and why it needs to be rebuilt on a cadence rather than trusted forever.
A comparison between infrastructure testing and agent evaluation, focused on hidden state, behavioral contracts, and feedback loops.
A reliability note on why incident categories matter only when they change prioritization, learning, and operational follow-through.
A systems-through-line from Chef, infrastructure automation, and TDD in operations to context engineering for agentic AI.
Why reusable prompts and context packs deserve versioning, review, privacy boundaries, failure modes, and evaluation loops.
How automation, testing, and platform thinking connect infrastructure-as-code work with later production engineering practice.