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Intelligence Engine Applications & Developer Ecosystems

Semantic Versioning for Prompts

Prompts are production code that changes behavior, cost, and quality, yet they are often edited in place with no history. Semantic versioning gives prompts a contract: major for behavior changes, minor for additions, patch for wording. Combined with eval gates, it makes prompt changes reviewable, reversible, and safe to ship.

Klíčové body

  1. Store prompts in version control, not in dashboards or databases alone.
  2. Bump major when output behavior or schema changes.
  3. Bump minor when adding capability without breaking existing callers.
  4. Bump patch for wording or formatting tweaks with no behavior change.
  5. Tag each version with its eval results and model used.
  6. Require eval pass before promoting a new prompt version.
  7. Keep a changelog of what changed and why.
  8. Roll back by version, not by memory.

Časté dotazy

Do prompts really need semver?

Yes once more than one caller or one developer depends on the output.

How do I handle model upgrades?

Treat a model change as a major version bump and re-run evals.

Where should prompts live?

In the repo next to the code that calls them, versioned together.

Can I A/B test prompt versions?

Yes, route traffic by version and compare on your real metric.

Jak Kinetikatech pomáhá s intelligence engine applications & developer ecosystems

Upřímně, většina týmů se na nás obrací poté, co to nejdřív zkusila sama: Build, govern, and ship AI-powered developer tools and applications, from coding agents and prompt pipelines to fine-tuning, testing, and compliance. Naše služba Správa serverů a Údržba webu je tu proto, abyste intelligence engine applications & developer ecosystems nepoznávali na vlastní kůži; my se postaráme o zprovoznění, dohled a překvapení ve tři ráno.

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