Vibe Coding Makes Bad Ideas More Expensive

Charlie Munger had a line I keep coming back to:

All I want to know is where I'm going to die, so I'll never go there.

I think about products that way now.

I do not need a tool, a framework, or an AI agent to tell me which idea will definitely work. That kind of certainty is fake.

What I need is a way to see where similar ideas tend to die.

That question matters more now because vibe coding has changed the speed of starting.

Vibe coding changes the emotional cost of starting. You can open a chat, describe a product, ask for a schema, generate a UI, wire up auth, connect Stripe, deploy to Vercel, and have something that looks real before your doubt has time to catch up.

It is powerful.

And it can fool you.

Not because AI writes bad code. Sometimes it writes good enough code. Not because builders should stop using it. I use it too.

The trap is that vibe coding makes the wrong question feel productive.

Instead of asking, "Should this exist?", you start asking:

What should the dashboard look like?
Should I use Supabase or Postgres directly?
How do I add onboarding?
Can I generate a logo?
Should I add team accounts now or later?

Those are comfortable questions because they produce visible progress.

The harder question is quieter:

Where does this idea usually die?

The New Failure Mode

Before AI coding tools, many bad ideas died slowly at the implementation stage.

The founder got tired. The feature list grew. The backend took longer than expected. The UI never felt good enough. The product never launched.

That was frustrating, but it had one accidental benefit: friction killed some weak ideas before they consumed too much attention.

Vibe coding removes a lot of that friction.

Now a weak idea can reach "working product" much faster.

That sounds like progress, and sometimes it is. But it also means the product can reach launch day before the builder has answered the boring questions:

Who already has this problem?
Where can I reach them?
What are they using now?
Why would they switch?
What makes this urgent?
What platform or API can break the core workflow?
What has to be true for this to become a business, not just a demo?

The code arrives before the judgment.

That is the part that makes me cautious.

A Product Can Be Easy to Build and Still Hard to Sell

I started seeing this pattern while reviewing product cases for Before You Build.

The interesting cases were not always "bad products." Many of them were plausible. Some had users. Some had revenue. Some had a clean demo. Some solved a problem that was easy to understand.

But the failure point was somewhere else.

ClearNoteLab, for example, was built quickly: an AI document utility that could turn messy notes into cleaner PDF or Markdown output. The founder described building it in 9 days for about $200, with Stripe and PDF export included.

That is exactly the kind of product vibe coding makes easier to ship.

But the launch on Hacker News reportedly got 1 point, 0 comments, and 0 signups.

I would not read that as proof the product was useless. Too easy.

I would read it as a reminder that "I can build this" and "I can reach people who need this" are different skills.

The product might have needed consultants, agency operators, or freelancers with ugly client notes. Hacker News was probably not where that pain was strongest.

Vibe coding can generate the app.

It cannot generate the path to the buyer.

A Real Pain Still Needs Trust

RecoverFlow is another useful case.

The idea was failed Stripe payment recovery for small SaaS companies. That sounds more commercial than many side-project ideas. Failed payments cost money. SaaS founders understand churn. A $29/month price point does not sound absurd.

But the founder got zero signups from the landing page and stopped before writing the backend.

That was probably the right move.

The question was not whether AI or no-code could build the workflow. The question was whether a founder would trust a new product near Stripe, customer billing, revenue recovery, and customer emails.

Not a styling problem.

Not a "generate better landing page copy" problem.

Buyer access and trust.

Vibe coding makes it easier to build tools that sit next to sensitive workflows. It does not make people trust those tools.

If anything, it raises the bar. When users know software can be assembled quickly, they may become more skeptical about whether the builder understands the messy parts: edge cases, data safety, refunds, fraud, permissions, compliance, support, and the awkward moments after something breaks.

Some Ideas Die Outside the Codebase

There is another category that vibe coding makes easy to underestimate: platform dependency.

GummySearch is a good example. It was not a weekend toy. Public first-party sources say it was used by over 135,000 founders, marketers, and investors. It had a real audience, a clear use case, pricing, and product history.

Then it stopped new signups and payments after it could not reach a Reddit Data API commercial license.

Not a simple "failed to build" story.

A permission story.

Hashtag Pirate had the earlier version of the same problem. It was an Instagram hashtag search tool. The founder reported SEO traction and #1 rankings. Then Instagram API changes took effect, search stopped working, and there was no fallback.

Zlappo shows the Twitter/X automation version. A founder-attributed post says it reached about $30k/month, relying heavily on AppSumo and Twitter/X. After Twitter/X API changes, the founder said he had to shut down or deprecate 80% of its features.

This is not an argument against building on platforms. Everyone builds on platforms.

Stripe, app stores, model APIs, social networks, email providers, cloud vendors, ad networks, data providers. Modern products are stacks of other people's permissions.

The mistake is pretending permission is a technical detail you can check later.

With vibe coding, that mistake gets easier. The prototype works. The API responds. The demo looks convincing. So the platform feels solved.

But a working integration is not the same as a durable business dependency.

The Question Before the Prompt

The most important prompt may not be:

"Build me an MVP for this idea."

It may be:

"Find the ways this idea usually dies."

Before vibe coding a product, I would want a short pre-build memo that answers a few uncomfortable questions:

What existing product category does this resemble?
What are the common failure modes in that category?
Is the core risk demand, distribution, retention, willingness to pay, trust, platform dependency, or something else?
What is the smallest test that can expose that risk before code?
What evidence would make me stop?

The fifth question is the one people skip.

Builders love success criteria. They rarely define stop criteria.

Munger's line is useful because it starts with the negative space. Where do people die? Where does the idea break? What would make this obviously not worth building?

That is not pessimism. It is a way to protect your attention.

Vibe Coding Needs Pre-Build Taste

I do not think vibe coding is the problem.

The problem is vibe coding without product taste.

And by product taste, I do not mean beautiful UI or clever feature ideas. I mean the ability to notice which risks matter before you spend your energy on the wrong layer.

For an AI document tool, the risk might not be generation quality. It might be whether the user will hand over real messy notes.

For a failed-payment recovery tool, the risk might not be the email sequence. It might be whether a founder trusts you near billing.

For a marketplace, the risk might not be the listing page. It might be whether one side has enough reason to show up before the other side exists.

For a platform-dependent product, the risk might not be the first API call. It might be whether the platform still wants you there when you start making money.

Those are not code questions.

But they decide whether the code matters.

What I Would Do Before Vibe Coding

If I were about to vibe code a new product today, I would do three things before opening the editor.

First, I would write the "death memo."

One page. Plain language. No pitch deck voice. I would list the boring reasons the product dies.

Nobody cares enough.

People care but will not pay.

People pay once but do not come back.

The buyer is not reachable.

The workflow is too sensitive for a new tool.

The platform can remove access.

The product is a feature inside a bigger tool.

Second, I would find five similar cases.

Not to copy them. Not to declare the idea dead. Just to see the terrain before walking into it.

If every similar product struggled with distribution, I would not start with UI.

If every similar product got signups but no retention, I would not celebrate a waitlist.

If every similar product depended on an API that later changed, I would read the platform terms before writing code.

Third, I would run the smallest test that attacks the riskiest assumption.

If the risk is distribution, talk to the users before launch.

If the risk is trust, ask for the sensitive workflow before building the dashboard.

If the risk is willingness to pay, sell the manual version.

If the risk is platform dependency, test permission and fallback paths before polishing the integration.

Only then would I start building.

And I would still use AI heavily.

I would just aim it at a better question.

Closing

Vibe coding is a force multiplier.

That is why it needs better judgment in front of it.

If the idea is sound, AI can help you move faster.

If the idea is weak, AI can help you build the wrong thing with impressive speed.

The old bottleneck was writing code.

The new bottleneck is knowing what not to build.

That is why I like Munger's line so much.

Do not just ask where the product could work.

Ask where it is likely to die.

Then do not go there.