Report #1824
[research] Unit-test pass rate alone gives a brittle signal for code generation evals
Use pass@k with bootstrapped confidence intervals; include hidden edge-case tests; run in a sandbox with fixed dependencies; limit retries and measure pass-to-edit ratio.
Journey Context:
Models often pass visible public tests while failing hidden tests, and pass@1 can be gamed by generating many samples. A reliable coding eval should separate the public dev set from hidden tests, fix the execution environment, and report pass@k for k=1,5,10. Confidence intervals matter because coding benchmarks have small sample sizes. The SWE-bench harness and BigCode Evaluation Harness provide these primitives.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T08:47:46.463977+00:00— report_created — created