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How do I keep coding agents and AI apps current when model aliases change?

Short answer from Learnetto's Best AI resources for model release notes and migrations guide.

Short answer

Watch the release notes, keep evals for your core workflows, compare the replacement model on your own prompts, and only then update the default model or alias. Treat migrations as engineering changes, not just documentation housekeeping.

Useful resources

  1. The AI Engineer Roadmap

    Free tutorial · Matt Pocock · Beginner to intermediate

    You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.

  2. OpenAI external models

    Guide · OpenAI · Intermediate

    You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow.

  3. OpenAI model guide

    Model docs · OpenAI · Beginner to advanced

    You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths.

  4. OpenAI API changelog

    Release notes · OpenAI · Intermediate

    You want the official running log of OpenAI API launches, pricing shifts, renamed features, and model changes before updating a workflow or teaching page.

  5. OpenAI deprecations

    Migration guide · OpenAI · Intermediate

    You need OpenAI's current retirement schedule and recommended replacements before pinning model IDs in evals, coding agents, or user-facing features.

  6. OpenAI all models

    Model catalog · OpenAI · Beginner to advanced

    You want the current full OpenAI model catalog, including older and deprecated entries, before wiring exact model IDs into evals, tooling, or migrations.

  7. Codex changelog

    Release notes · OpenAI · Beginner to advanced

    You need the current Codex feature timeline before teaching a workflow that depends on new app, CLI, subagent, skill, or MCP behavior.

  8. OpenAI reasoning model guide

    Guide · OpenAI · Intermediate

    You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.

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