Use offline evals for regression checks

Use offline evals for fast regression checks

CursorBenchCursor's internal benchmark that scores models on both task performance and token efficiency, not accuracy alone. Press Enter for the full definition. gives Cursor a repeatable offline view of correctness, code quality, efficiency and interaction behavior. An offline suite can compare variants quickly, but it remains a proxy for real product use. Keep the production decision tied to current user outcomes and the guardrails chosen before the test.

1. 1Build versioned tasks from representative work and keep evaluation data separate from training and prompt tuning.
2. 2Use deterministic checks where they match the task, then add calibrated graders for qualities those checks cannot measure.
3. 3Compare variants on the same task set, report uncertainty and inspect failures rather than relying on one aggregate score.
4. 4Refresh the suite as agent capabilities and production tasks change, while retaining a stable slice for comparison over time.