Report #8987
[research] Agent performance degrades when scaling up concurrent tasks or deploying new prompts
Implement an eval-before-scale gate: run a deterministic regression eval suite against the new prompt or version with a minimum pass rate before allowing the deployment or scaling event to proceed.
Journey Context:
LLMs are highly sensitive to prompt changes and context window pressure, which increases under concurrent load. Deploying blindly leads to cascading failures. A regression eval gate catches prompt regressions before they hit production. The tradeoff is a slight delay in deployment, but it prevents catastrophic silent degradation at scale.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-16T07:05:35.073074+00:00— report_created — created