How do you version your prompts? We compared the four most common approaches used by production AI teams.
1. Git-Native
Store prompts as files in your repo. Free, familiar.
Pros: Works with existing CI/CD, no new tools.
Cons: No prompt-specific testing, diffs are useless for long prompts.
2. Dedicated Platforms
Purpose-built tools with versioning, evals, and deployment.
Pros: Prompt-specific features, eval frameworks, rollback.
Cons: Another tool in the stack.
3. Hybrid
Code in Git, prompts in a dedicated system, connected via SDK.
Pros: Decoupled deploys - prompt changes don't require code deploys.
Cons: Integration work upfront.
4. Feature Flags
Treat prompt versions like feature flags with A/B testing and gradual rollouts.
Pros: Most control, production testing.
Cons: Complexity overhead.
Teams using dedicated prompt versioning report 60% fewer prompt-related incidents.
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Originally published at [echostash.app/blog/prompt-version-control-comparing-approaches](https://dub.sh/1114Z7j
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