In today’s developer world, prompts are no longer just inputs.
They are logic.
They are behavior.
They are production-critical assets.
Yet most developers still manage prompts the same way we managed scripts before Git:
scattered notes, copied text blocks, renamed files like final_v3_really_final.txt.
This is the problem Lumra is trying to solve.
As AI becomes embedded into real products, prompts start to multiply:
At first, it feels manageable.
Then suddenly:
This is prompt sprawl — and it quietly kills velocity.
We’ve already lived through similar shifts:
AI workflows are following the same path.
The moment prompts move from experimentation into production,
they need:
Treating prompts as “just text” doesn’t scale.
Lumra is built around a simple but powerful idea:
Prompts should be managed like code, not notes.
Lumra helps developers:
Instead of asking “Which prompt was this?”,
you start asking “Which version should we use?”
That mindset shift changes everything.
For solo developers and indie hackers:
For teams:
For products:
Prompt engineering stops being magic — and becomes engineering.
We’re entering a world where:
Just like code.
Lumra is an early step toward what you might call Prompt Ops —
a structured, developer-first approach to managing AI logic.
If you’re building with AI today, this problem will find you eventually.
Lumra exists so you’re ready when it does.
👉 Learn more: Lumra
Building with AI shouldn’t feel fragile.
Your prompts deserve the same respect as your code.