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Code‑derived skill bank lifts benchmarks 12%

This story is from 2026-10-11. It is preserved in the archive; the latest stories are on the live feed.

Existing trajectory‑based methods require environment interaction, and prior approaches have achieved only modest performance gains. Mining over a million atomic operations from open‑source repositories shatters that ceiling, lifting average benchmark scores by 11.7% [1] . Before Code2Skill, two do…

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  1. 2026-10-11 05:00 · DEV Community — Machine Learning
    Code‑derived skill bank lifts benchmarks 12%

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