Most vibe coding disasters aren't caused by the AI writing bad code. They're caused by decisions made before or after the AI ever gets involved — skipping planning, ignoring costs, launching without checking anything. Here's the checklist version of everything that tends to go wrong, organized by when it bites you.
Before You Start
Picking a tool based on hype instead of fit
The most-talked-about tool this month isn't necessarily the right one for your project. A fullstack builder, an AI code editor, and a component generator solve different problems — see AI IDEs vs Coding Agents vs AI Extensions and How to Choose Your First Vibe Coding Tool before committing. Switching tools mid-project rarely just works — most don't import each other's projects cleanly.
Not defining what "done" looks like for version one
"Build me a task manager" invites the AI to guess at scope, and it will guess generously — auth, teams, notifications, recurring tasks, all in the first pass. Decide the one core action your first version needs to support, and say that explicitly. Everything else is a follow-up prompt.
Skipping the free tier
Every major tool has one. Prototype and validate the idea there before paying for anything — see The Hidden Costs of Vibe Coding for what you're actually signing up for once you upgrade.
Not checking how hard it is to leave
Before you invest hours of prompting, check whether the tool exports clean code you can take elsewhere, or locks your project inside its platform. This is a five-minute check up front and a very expensive discovery later. Covered in depth under "Vendor Lock-In" in The Hidden Costs of Vibe Coding.
While You're Building
Prompting for the whole app in one shot
A single giant prompt describing your entire product gives the AI too much to guess at once, and gives you no checkpoint to catch it going wrong. Build in small, specific iterations instead — the full technique is in How to Write Better Prompts for AI App Builders.
Not actually looking at what the AI built
It's tempting to just read the preview and move on. Skim the changed files occasionally, even if you don't write code yourself. You're not reviewing for style — you're checking that the AI didn't quietly invent a fake payment success state, skip an error case, or store something insecurely. Catching this in the moment is far cheaper than catching it after launch.
Confusing "looks right" with "works right"
A checkout flow that displays "Payment successful" and a checkout flow that actually charges a card and provisions access are not the same thing, and they can look identical in a demo. Click through the actual behavior — submit real (test) data, refresh the page, log out and back in — don't just eyeball the UI.
No checkpoints before big changes
Most tools let you roll back to an earlier version or export to GitHub. Use that before asking for a large, risky change — a redesign, a data model change, a new integration. If it goes badly, you want a clean point to return to, not just "undo" and hope.
Redesigning and adding features in the same prompt
Mixing "make it look better" with "and also add X" makes it hard to tell which change caused which result if something breaks. One kind of change per prompt — see the "Common Mistakes to Avoid" section in How to Write Better Prompts for the full breakdown.
Ignoring mobile until the end
If real users will ever open your app on a phone, check it on a phone early and often — not as a final pass before launch. Layout problems compound the longer they're built on top of.
Before You Launch
Skipping a security pass because "it's just an MVP"
Exposed API keys, missing access controls, and unvalidated inputs don't care how early-stage your product is — the moment it's on the public internet, it's a target. Run through the Vibe Coding Security checklist before your first real user touches it, not after.
No usage or budget alerts
Credit-based pricing means a viral moment or a runaway loop can turn into a surprise bill fast. Set a spending alert (most tools and payment providers support this) before you need it, not after you get the email.
Launching without checking what data you're actually collecting
If you're handling anything sensitive — payments, health information, anything regulated — that changes what "good enough" security and compliance look like. Figure this out before launch, not after a user asks where their data lives.
Treating the first version as the final architecture
An AI-generated prototype is proof that an idea works, not necessarily the foundation you build a real business on. Know the signs that it's time to bring in more structure — or a developer — before scaling further. See When to Stop Vibe Coding and Start Writing Code.
The One Mistake Underneath All the Others
Moving fast with AI tools is the entire point — that's not the mistake. The mistake is moving fast and skipping the five-minute checks that would've caught a problem early: read what it built, test the real behavior, know your exit costs, watch your spend. None of that slows you down much. Skipping all of it is what turns a weekend project into a weekend of cleanup.
Next Steps
- Read: How to Write Better Prompts — the prompting techniques that prevent half of this list
- Read: The Hidden Costs of Vibe Coding — the full cost picture beyond the subscription
- Read: Vibe Coding Security — the practical pre-launch checklist
- Read: When to Stop Vibe Coding — the warning signs your project has outgrown the tool
- Read: The Vibe Coding Glossary — if any term above wasn't clear