Observability for Agentic Engineering Systems
If an autonomous coding run fails, "the agent failed" is not a useful diagnosis.
Jul 2, 20269 min read11

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If an autonomous coding run fails, "the agent failed" is not a useful diagnosis.

The useful question is not whether an AI agent can write code. It is what the system does when the agent is wrong.

How I structure an AI coding workflow around queues, durable state, focused agents, QA gates, and human review.

The most complex RAG pipeline felt smarter. The evaluation report made me change the product decision.

The best time to discover a missing `prompt` is before retrieval, reranking, and the LLM call.

I made "RAG type" a YAML file, not another Python branch.
