We Pinned Our Model Version. The Provider Deprecated It Anyway.
Why re-qualification, not inference, is the recurring cost of production AI
About We Pinned Our Model Version. The Provider Deprecated It Anyway.
Pinning a model version does not protect you from deprecation. This Towards Data Science piece argues that the recurring cost of production AI is not inference but re-qualification: the eval reruns, prompt retuning and regression testing you owe every time a model changes under you.
It breaks down what that tax covers and how to budget for it before a deprecation notice forces the work on you.
Read the guide on Towards Data Science.
The facts
- Type
- Guides
- Tags
- AIDeveloper Tools
- Listed
- September 21, 2026
More Guides
See all →- The September Cut Took 17% of My Claude Code Week. Subagents Took 48%455 sessions of logs show where a Claude Code week actually goes, and which saving tips work.
- Evidence-Driven Development: Give Your Coding Agent Something to ProveWrite a claim that can lose, break the app on purpose, and keep evidence your agent can't fake.
- Slopsquatting: Your AI Invented a Package, and an Attacker Was WaitingNearly 1 in 5 AI-suggested packages in one study did not exist. How attackers use that.
- Free the Models: Harness Design at the FrontierReplit stopped routing work for the model and let the model decide. Here are the numbers.
- UpGuard: 16,326 Supabase Databases Exposing DataThe largest study of Supabase misconfigurations: thousands of app databases readable by anyone.