Guides
Practical, no-fluff writing on AI model lifecycle management — how deprecations work, how to migrate without breaking production, and how to stay ahead of the next shutdown.
Also useful: the public AI model retirement calendar (every announced shutdown date, sourced) and the deprecation-signals RSS feed.
What Happens When an AI Model Is Deprecated? The Full Lifecycle
The four stages of a deprecation — announcement, sunset window, brownouts, shutdown day — plus what actually breaks and why teams get caught.
2026-10-11 · 8 min read
The AI Model Migration Playbook: Switch Models Without Breaking Production
A step-by-step migration sequence: audit your blast radius, evaluate replacements on your real prompts, canary the cutover, validate costs.
2026-10-11 · 9 min read
Build a Model Dependency Inventory Before Your Next Deprecation
Map every AI model ID in your codebase, configs, and integrations to the features they power — so the next notice is a checklist, not a crisis.
2026-10-11 · 8 min read
7 Signals That an AI Model Is About to Be Deprecated
Providers telegraph retirements months early — in naming patterns, pricing shifts, changelog language, and docs. Learn to read the signals.
2026-10-11 · 8 min read
The October 2026 OpenAI Model Shutdown: Full List + Migration Map
Every model ID retiring on October 23, 2026, with OpenAI's recommended substitutes — plus a migration map by workload so you switch to the right one, not just a working one.
2026-10-12 · 8 min read
Pinned vs Alias: The Two Ways a Model Retirement Breaks You
Retirements kill you twice: the hard 404 when a pinned snapshot dies, and the silent behavior drift when an alias gets repointed. Here's how to survive both.
2026-10-12 · 8 min read
How to Audit Your Codebase for Retired Model IDs in 20 Minutes
A timed walkthrough: grep your repo, check your usage dashboards, and classify every model ID — so the next shutdown date is a checklist, not a crisis.
2026-10-12 · 8 min read