Posts tagged LLM Pipelines — AI × software engineering, made practical.
You'll learn why plan-act-observe loops stall out at human review and how to design a real verification step that keeps pace with a fast generator.
A scheduling agent swore up and down it was March in September — and the root cause wasn't a bad model, it was an idempotency key that never found out the function behind it had changed.
A three-week 'flaky model' postmortem turned out to be a one-character field rename nobody validated — here's the fix that turns that class of bug into a single stack trace.
An agent pipeline can post a spotless uptime dashboard for six straight hours while quietly solving the wrong problem entirely — here's the sensor a classic circuit breaker doesn't have, and the one you actually need.
The obvious fix for a worker agent that keeps breaking its own output format is another agent to catch it — here's why that instinct is usually wrong, and what actually killed the drift for a fraction of the cost.
The LLM call you're treating as "just reasoning" is doing the exact job a dbt model does, except nobody's diffing it, versioning it, or noticing when ten agents quietly disagree on what "churn" means.