Julius Brussee 5e3d6b8c27 feat(learn): add multi-source outcome tracking ...

Upgrade `caveman learn` from a Claude/Codex setup linter into a broader local optimizer. It now scans Gemini, opencode, and opt-in aider history, uses catalog-backed context windows and measured turn-1 prefix evidence, adds new behavioral detectors, and ranks grouped portfolio moves without mixing historical totals into forward rates.

The CLI/proxy/TUI now support `learn applied`, `learn simulate`, `--repo`, per-repo reporting, and confirmed longitudinal fix verdicts (`improved`, `unchanged`, `regressed`, `insufficient_data`). Docs, the embedded `caveman-learn` skill, and tests were updated to cover the new learn v2 behavior and planning artifacts.

2026-08-17 16:59:35 +02:00

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platform

feat(learn): add multi-source outcome tracking

2026-08-17 16:59:35 +02:00

provider-catalog

chore: scrub private-repo references from public tree (#832)

2026-08-13 01:41:38 +02:00