Explains environment-independent deployment
One reviewed artefact builds every environment from configuration.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 5 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 50% | Not shown |
| gpt-6-astra | Flagship | 100% | Mastered |
| claude-fable-5-1 | Flagship | 100% | Mastered |
| gemini-3.8-flash | Mid tier | 91% | Not shown |
| gpt-6.1-sol | Mid tier | 91% | Not shown |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 64% | Not shown |
| gpt-6-luna | Low cost | 66% | Not shown |
| claude-haiku-5-5 | Low cost | 96% | 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: One reviewed artefact builds every environment from configuration
How it is assessed: Finds environment-specific content in sample scripts
Related knobits
Needed for
All 33 knobits of Generate and review DDL.
Source: Data-management practice used by the stage 8 reference and review checklist