Report #44178
[research] When to scale up agent parallelism or complexity
Run a baseline eval suite on a single agent thread first. Do not increase parallelism, tool count, or model complexity until the single-threaded eval passes a strict threshold \(e.g., 95%\).
Journey Context:
Developers often throw more agents or larger models at a failing workflow. This just multiplies failure modes and makes debugging impossible. Scaling an unreliable agent creates an unreliable system at scale. Eval-before-scaling forces you to fix the core logic first.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T04:37:23.665437+00:00— report_created — created