There’s a growing misconception in the AI space:
that software built with prompts is somehow easier, lighter, or requires less effort than traditional software development.
In reality, the opposite is often true.
When you build a system powered by prompts, you still go through the same fundamental process:
The medium has changed, but the craftsmanship hasn’t.
Prompt-based systems require the same effort, care, curiosity, and intention as systems written in JavaScript, Python, or any other traditional language. The work just happens in natural language instead of syntax.
Today, prompts behave like a high-level programming language:
Anyone who has shipped a real AI-powered product knows this:
you don’t “just write a prompt.” You design a system.
And like any serious system, prompts need to evolve over time.
Here’s where things start to break down.
For code, we already have:
For prompts?
Most teams are still copy-pasting text into docs, Notion pages, or scattered files.
As prompts become core infrastructure, this gap becomes painful.
That realization led me to build Lumra.
Lumra is a prompt management platform designed around real development workflows:
Not as “notes.”
Not as “experiments.”
But as part of the product itself.
We already made this transition before:
Code → Git
Design → Figma
Content → CMS
AI workflows are next.
If prompts power your software, they deserve the same respect as your codebase.
If you’re building with AI and feeling this shift, I’d love to hear how you’re managing prompts today—and you can check out Lumra here:
👉 https://lumra.orionthcomp.tech