Back to all posts

From Vibe Code to Production: The Reality Check AI Founders Need

Vibe coding was supposed to be the future.

Two years later: spaghetti code, broken production apps, and technical debt that follows you like a shadow.

The Hype vs. Reality

I spent 4 days "vibe coding" an AI-powered analytics dashboard. It worked beautifully in the demo.

Then production happened.

Sound familiar?

What Actually Works

After rebuilding that dashboard properly, here's what I've learned:

1. Vibe Code for Prototypes, Not Products

AI coding tools are incredible for:

They're terrible for:

2. The 80/20 Rule of AI Coding

Use AI for the 80% that's boilerplate and well-understood patterns. Write the 20% that matters — the core logic, the edge cases, the security — yourself.

3. Refactor Before You Scale

That vibe-coded prototype? Before you add users, refactor it. Understand every line. If you can't explain what it does, rewrite it.

The Opportunity

Here's the thing: there's a massive opportunity in bridging the gap between "vibe code" and "production code."

Tools that help developers:

The future isn't vibe coding OR traditional coding. It's vibe coding → rapid iteration → production-ready systems.

My Current Stack

What I'm using now:

The hot take? AI coding tools work best when you already know how to code.


What's your experience with vibe coding in production? I'd love to hear your stories.

#buildinpublic #indiehacking #ai #vibecoding #saas