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.
Punti chiave
- 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.
Domande frequenti
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.
Come Kinetikatech aiuta con intelligence engine applications & developer ecosystems
A essere onesti, la maggior parte dei team arriva da noi dopo averci provato da sola: Build, govern, and ship AI-powered developer tools and applications, from coding agents and prompt pipelines to fine-tuning, testing, and compliance. Il nostro servizio Gestione server e Manutenzione siti esiste proprio per evitarLe di imparare intelligence engine applications & developer ecosystems nel modo peggiore: pensiamo noi alla configurazione, al monitoraggio e alle sorprese delle 3 di notte.