One thing that's bitten our team repeatedly: prompts buried in application code means every tweak goes through the full review → merge → deploy cycle. For something as iterative as prompt engineering, that friction is brutal.
FetchPrompt (fetchprompt.dev) decouples prompts entirely — store them in a dashboard, fetch at runtime via REST API, pass variables as query params for server-side interpolation. No SDK, no redeploy. Response comes back fully interpolated, ready to pass to any LLM.
The Stage/Production environment split with one-way promotion mirrors workflows engineers already use for code. Immutable version snapshots and one-click rollback give you a safety net that most teams currently have zero of. And non-engineers — PMs, domain experts, support leads — can now iterate on prompts directly without repo access. That alone unblocks a lot of real-world AI teams.
When you're iterating on prompts, treating them like application code is the wrong mental model — they're closer to config or content. If your prompt quality is currently bottlenecked by your deployment cadence, this is worth 5 minutes to try.
Free tier: unlimited prompts, unlimited team members, 5k API calls/month.