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Marius CiepluchandClaude Opus 5.5
afde23d3cf
Maintainer direction: A/B testing to extrapolate detection instead of hard-coding it, and a trained decision engine. Instruments become signal producers; labels from ground truth with provenance; a simple calibrated engine with population folds; experiments as plane Runs; extrapolation with intervals, checked once on frozen v3; the engine is what scan/pre-push/plane report. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
14 lines
412 B
JSON
14 lines
412 B
JSON
{
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"feature_name": "learned-decision-engine",
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"created_at": "2026-09-30T14:00:00Z",
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"updated_at": "2026-09-30T14:00:00Z",
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"language": "en",
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"phase": "requirements-generated",
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"approvals": {
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"requirements": {"generated": true, "approved": false},
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"design": {"generated": false, "approved": false},
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"tasks": {"generated": false, "approved": false}
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},
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"ready_for_implementation": false
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}
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