Reliability

Reject stale chat-history writes when another turn changes the conversation during generation.

Use admission control, bounded waiting, and shared provider limits to keep slow AI work from turning overload into an outage, with C# examples.

Limit buffered work with a bounded channel, then decide whether producers should wait, reject, or drop work when it fills.

Qualify fallback models against the feature contract, define eligible failures, bound attempts, and make reduced behavior visible to callers.

How to keep an AI-enabled product useful when a dependency fails, without hiding reduced capability or returning unsafe substitutes.

Choose AI evaluation criteria from the feature contract: answer quality, retrieval, tool effects, safety, reliability, latency, and cost.

Review generated EF Core operations, inspect the deployment SQL, and check application compatibility before applying schema changes.

Check why generation stopped before accepting model output, and give incomplete responses an explicit application outcome.

Track progress per consumer and source ordering boundary, and advance each checkpoint only after the corresponding ingestion work succeeds.

Let one throttling response reduce pressure from every caller sharing the affected capacity pool.