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Marius CiepluchandClaude Fable 5.1
dc2da3d83a
Feature engineering is the centre: a feature table with switchable columns
is the contract between producers (source.facts_for, semantic facts, entry
points, diff hunks; lizard and Semgrep only after their evaluations), the
ablation runner and the hunter program. DSPy runs the program (ReAct over a
HuntSignature; GEPA and MIPROv2 propose), our rule accepts on held-out
folds. The pilot stays held out; the hook, its client and the core install
are untouched. Requirements approved by the maintainer ('4 first').
Co-Authored-By: Claude Fable 5.1 <[email protected]>
23 lines
544 B
JSON
23 lines
544 B
JSON
{
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"feature_name": "hunter-learning-loop",
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"created_at": "2026-10-13T09:05:00+02:00",
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"updated_at": "2026-10-13T13:30:00+02:00",
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"language": "en",
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"phase": "design-generated",
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"approvals": {
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"requirements": {
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"generated": true,
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"approved": true,
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"note": "maintainer 2026-10-13: '4 first' (DSPy for the hunter program)"
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},
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"design": {
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"generated": true,
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"approved": false
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},
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"tasks": {
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"generated": false,
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"approved": false
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}
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},
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"ready_for_implementation": false
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} |