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A Thousand Repositories Became Five Thousand Skills
DisCo distills operational knowledge from ML codebases into compact, verified task context.
Published Updated Story ID: mp-2026-09-03-017
Summary
DisCo distills operational knowledge from ML codebases into compact, verified task context.
With backbone, harness and execution budget held fixed, the paper reports gains from 9.2% to 134.3% across four research benchmarks. The comparison supports the tested library, not every repository-to-skill conversion.
Why it matters
DisCo distills operational knowledge from ML codebases into compact, verified task context.
Limits and context
- The comparison supports the tested library, not every repository-to-skill conversion.
Key claims
DisCo distills operational knowledge from ML codebases into compact, verified task context.
Qualification: The comparison supports the tested library, not every repository-to-skill conversion.
Evidence: source-2026-09-03-019
Sources
- arXiv preprint 2609.02749arXiv · primary research
Corrections
No corrections have been recorded for this story.