{ "feature_name": "constrained-detector", "created_at": "2026-09-06T14:30:00Z", "updated_at": "2026-09-08T00:00:00Z", "language": "en", "phase": "tasks", "approvals": { "requirements": { "generated": true, "approved": true }, "design": { "generated": true, "approved": true }, "tasks": { "generated": true, "approved": false } }, "ready_for_implementation": false, "depends_on": [ "learning-harness" ], "approval_note": "2026-09-06 brief drafted at the maintainer's direction ('I'd rather spend time to design the exact DSPy style interface and evolutionary / statistical prompt optimization than fixing piece by piece'). Not approved; requirements not generated.; 2026-09-06 renamed from detector-optimizer to constrained-detector after the trajectory measurement: the brief's own conclusion is that the optimiser is not the next thing to build, and the spec should be named for what it delivers; 2026-09-06 requirements generated at the maintainer's direction, with the maintainer's emphasis recorded as Requirement 3 ('don't forget the emphasis on the real world bugs from the larger projects to avoid overfitting. we otherwise benchmark for cases that are not relevant'); 2026-09-06 requirements approved by the maintainer in session ('approve the requirements and run the design phase'); 2026-09-06 design approved by the maintainer in session ('approve the design and generate the tasks'); 2026-09-08 SUPERSEDED by execution-grounded-detection: this session's measurements showed the noise architecture (K-runs, per-family floor, regression budget, sign test, evolve loop) is a statistical treatment for a structural problem, and that the field (Big Sleep, AIxCC finals, Clearwing) grounds detection in execution rather than in scoring against a labeled corpus. The taxonomy, the IR candidate enumerator (96.6% ceiling) and the obligation checker survive as the web/logic detection path to contribute to a Clearwing-based substrate.", "superseded_by": "model-grounded-detection" }