Routes a defect to the deliverable responsible for it
Sends a defect back to where it was made, so the source of truth is corrected and the fix survives regeneration.
Can AI do this?
AI does this well Most of the tested AI models master this. 7 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 100% | Mastered |
| gpt-6-astra | Flagship | 100% | Mastered |
| claude-fable-5-1 | Flagship | 100% | Mastered |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 100% | Mastered |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 72% | Not shown |
| gpt-6-luna | Low cost | 1% | Not mastered |
| claude-haiku-5-5 | Low cost | 89% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: A finding raised against the stage, model, configuration or rule owning the defect, not fixed in place
How it is assessed: Every fix is routed to the deliverable owning it; nothing upstream is restructured downstream, and no generated file is edited by hand
Related knobits
Builds on
All 40 knobits of Design the physical data model.
Source: Graded on its own by the stage 6 skill-tests task; no review-checklist row names it