Recognises a breaking model change released as a minor version
A removal, retype or change of meaning released as minor or patch.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 89% | Not shown |
| gemini-3.5-flash-lite | Low cost | 90% | Mastered |
| gpt-6-luna | Low cost | 90% | Not shown |
| 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 major version for the breaking change
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MC-032 drops PE-016 in 1.3.0 (from 1.2.0) Acceptable: 2.0.0
Also known as: Breaking change in a minor version
Related knobits
Builds on
Usually followed by
All 7 knobits of Maintain and version data models.
Source: Review checklist maintenance-versioning, row 3 (SemVer)