Report #72342
[counterintuitive] Using 'Act as an expert' role-playing prompts to improve code quality
Drop role-play personas and explicitly define the technical constraints, tech stack versions, and architectural patterns the agent must follow.
Journey Context:
Early LLMs needed 'Act as an expert' to condition token probabilities toward high-quality outputs. Modern RLHF'd models already default to expert personas. Role-playing now often backfires: 'senior engineer' prompts frequently generate overly complex, 'clever' code instead of simple, maintainable code, or trigger verbose over-explanations. The model's prior is already weighted toward expert code; what it lacks is specific environmental context, which personas do not provide.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T04:00:52.118517+00:00— report_created — created