Recognises decommissioning before the consumers move
An application switched off in a state before a package that moves one of its consumers.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 96% | Mastered |
| gemini-3.5-flash-lite | Low cost | 37% | Not shown |
| gpt-6-luna | Low cost | 95% | Mastered |
| claude-haiku-5-5 | Low cost | 95% | Mastered |
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: The decommissioning, the consumers and the order
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: WP-003 retires the legacy warehouse in TS-2; WP-006 moves deposit reporting off it in TS-3 Acceptable: WP-003 in TS-3 after WP-006, with a dependency
Also known as: Decommissioning before the consumers move
Related knobits
Builds on
Usually followed by
All 14 knobits of Sequence the implementation roadmap.
Source: Review checklist 05-roadmap, row 5 (TOGAF; DMBOK)