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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.

Puntos clave

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

Preguntas frecuentes

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.

Cómo ayuda Kinetikatech con intelligence engine applications & developer ecosystems

Usted no debería tener que volverse experto en intelligence engine applications & developer ecosystems: Build, govern, and ship AI-powered developer tools and applications, from coding agents and prompt pipelines to fine-tuning, testing, and compliance. Exactamente para eso existe Gestión de servidores y Mantenimiento web: configuración, blindaje, monitoreo y un ingeniero de guardia día y noche.

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