When vibe coding works, it feels magical.
When it doesn’t, you are stuck staring at a screen wondering what went wrong.
Over the last few months, while using tools like Lovable, Bolt, and Replit, we kept running into the same frustrating pattern. The idea was clear. The tool was powerful. But the output was wildly inconsistent.
The problem was almost always the prompt.
This is the story of how that realisation turned into Heal My Prompt, a small experiment built during a QApilot hackathon.
The problem we kept running into
Vibe coding tools are incredibly sensitive to how you phrase things.
A small change in wording can:
Completely change the UI generated
Break layouts
Ignore important requirements
Produce something that looks nothing like what you had in mind
What made this worse was that most of us were not sure why it failed. We would tweak the prompt, retry, tweak again, and hope it worked the next time.
There were two clear gaps:
People had good ideas but struggled to express them in the exact way these tools expected
There was no easy way to turn a rough idea into a structured, tool friendly prompt
That gap is where Heal My Prompt came from.
The core idea behind Heal My Prompt
We did not want to build another prompt library or template collection.
The idea was much simpler:
Let people describe what they want to build in plain language
Take that input and turn it into a clean, structured, optimized prompt
Tailor the output for vibe coding tools specifically, not generic LLMs
In short, we wanted to fix prompts before people hit Run.
How we built it during the hackathon
This was built entirely as a vibe coded experiment.
No hand written backend code.
No complex infra setup.
Just shipping fast and learning.
The flow is intentionally simple:
You describe what you want to build, or pick a starting example
The system restructures your idea into a clearer, more explicit prompt
The output is optimized for tools like Lovable, Bolt, and Replit
We focused heavily on:
Clear structure over long explanations
Explicit constraints instead of vague instructions
Language that vibe coding tools respond well to
The goal was not to be perfect. It was to be immediately useful.
What makes Heal My Prompt different
Heal My Prompt is not trying to teach prompt engineering.
It is trying to remove friction.
Instead of asking users to learn how to write better prompts, it:
Does the cleanup for them
Makes assumptions explicit
Produces prompts that are easier for tools to interpret consistently
It works especially well when:
You have an idea but are not sure how detailed your prompt needs to be
You keep getting inconsistent outputs
You want a faster first iteration without trial and error
Launching it and getting feedback
We launched Heal My Prompt publicly to answer one question:
Is this actually useful outside our own workflows?
We shared it on Product Hunt and within builder communities to get honest feedback, not hype.
What stood out immediately:
Many people said prompt quality was their biggest blocker with vibe coding
Several asked for explanations or diffs to understand what changed in their prompt
Others wanted support for more tools and use cases
That feedback shaped how we think about the next iterations.
You can try Heal My Prompt here:
👉 https://www.healmyprompt.com/
And this is the Product Hunt launch for context and feedback:
👉 https://www.producthunt.com/products/healmyprompt?launch=heal-my-prompt
