Recognises non-production linked to production
Shared credentials or network paths: a test can change production.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 97% | Mastered |
| gemini-3.5-flash-lite | Low cost | 20% | Not shown |
| gpt-6-luna | Low cost | 97% | Mastered |
| claude-haiku-5-5 | Low cost | 24% | 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: The defect named on the non-production using production credentials or links, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: EV-004 uses the production service account Acceptable: Separate credentials and network zones
Also known as: Non-production linked to production
Related knobits
Builds on
All 15 knobits of Plan environments and capacity.
Source: Review checklist 02-environments-capacity, row 7 (27002 8.31)