Why Vibe Coding Won't Save You (But Here's How It Actually Helps)

AI can write your code now. So why are most vibe-coded apps still dying?

The hype is real — and so is the graveyard

Vibe coding is everywhere in March 2026. Founders on Reddit, Product Hunt, and X are building full SaaS products in weekends with nothing but natural language prompts. Cursor, Claude, Copilot — the tools are genuinely incredible. I've been building in digital for 15+ years — agency work, indie products, 150+ projects from scratch — and this is the most accessible the "building" side has ever been. But accessibility doesn't equal success. And right now, the graveyard of vibe-coded apps is filling up fast. Launched, crickets, abandoned. Repeat.

My honest take after shipping products this way

Here's what I've noticed building my own products (ListingVid, EST8, OhMyLead): the coding was rarely the bottleneck.

The bottleneck is always the same: finding a problem someone will pay to solve, reaching those people, and convincing them your solution is worth their money. That hasn't changed. It never will.

Vibe coding removes one real constraint — time to first working version. That's genuinely powerful if you use it right.

The mistake most founders make? Treating the demo as the product. They ship something that technically works, post it on Product Hunt, get a few hundred upvotes, and then wonder why MRR is zero. They optimized for "built it," not "sold it."

The founders actually winning right now are using vibe coding as a discovery loop. Build a rough version in 2 days. Show it to 10 real people in your target market. Get the feedback. Kill it or iterate. Repeat until something sticks — then invest in making it solid.

When I built ListingVid (AI video generator for real estate agents), the first version was rough. But putting it in front of actual agents immediately showed what they needed vs. what I assumed. AI tools just compressed how fast I reached that moment of truth.

AI didn't change the fundamentals of building a business. It just compressed the timeline for the part where you figure out you built the wrong thing.

3 things to keep in mind

• Vibe coding is a validation tool, not a launch strategy — use it to test ideas fast, not to ship polished products into a void
• Distribution is still the hard part — getting eyeballs and paying users requires the same hustle it always did; AI doesn't do your sales calls
• Speed only helps if you're learning — building fast without talking to users is just failing faster; make sure each iteration generates real signal

Build the hypothesis, not the product

If you're using AI to build your next SaaS, treat every version as a hypothesis. The goal is learning, not shipping.

Ship ugly. Talk to people. Iterate on what they actually say — not what you imagine they'd want.

That's how you turn vibe coding into a real competitive advantage.

What are you vibe coding right now? Drop it in the comments or find me on X → @lmoncany

Comments

[Mihir kanzariya]

the graveyard part is so accurate. ive seen so many Cursor/Bolt projects that look amazing in the demo video and then the first real user finds 15 bugs in 5 minutes because nobody tested edge cases.

honestly the biggest gap in the vibe coding workflow right now is feedback loops. you can build fast but if you cant figure out whats breaking for actual users, you're just shipping faster into a wall. bug reports from non-technical users are basically "it doesn't work" with zero context lol

[Hamza KONTE]

"Vibe coding" breaks down when you can't articulate what you actually want — and that's a prompting problem as much as a thinking problem. The devs who get consistent results from AI are the ones who've learned to be precise upfront: role, context, constraints, expected output.

Built flompt.dev for exactly this (github.com/Nyrok/flompt) — forces you to decompose the vague "make it work" into explicit structured blocks before you hit generate.