Vibe coding is the practice of building software by describing what you want to AI tools like Cursor, Lovable, or Bolt.new, and letting them generate the code. Everyone has an opinion on it. Skeptics call it a toy. Evangelists call it the end of software engineering. Neither camp helps you decide whether to bet your next six months on it.
Here is the short answer: vibe coding is real. It produces working software that people use and pay for. It is also hyped. The hype oversells what you get after the first demo and undersells what it takes to keep that software running. The truth sits in the middle, and founders who understand that middle ground make better decisions.
This post is not a vibe coding explainer. If you want to know what vibe coding is and how the tools work, read our companion post on vibe coding fundamentals. This post takes a stance.
Does vibe-coded software actually ship and run?
A fair test of whether vibe coding is real: does it produce software that people outside the founding team can use?
By that measure, yes. Founders use tools like Cursor, Claude Code, Lovable, and Bolt.new to build apps that handle sign-ups, process payments, and serve thousands of sessions a week. These are not mockups. They run on real infrastructure, connect to real databases, and handle real money.
Vibe coding moved from novelty to production tool sometime in 2024. The debate over whether it “counts” as real development misses the point. Users do not care how the code was written. They care whether the app works.
Where vibe coding hype oversells
The hype tells a clean story: describe what you want, watch it appear, ship it, grow. The reality has a gap in the middle.
Most vibe-coded apps reach a working prototype fast. The trouble starts when that prototype needs to become a product: reliable enough for daily use, stable enough to change without breaking, clear enough for someone besides the original builder to maintain. That transition is where hype and reality diverge.
The AI generates code that solves the immediate prompt. It does not plan for the next twenty prompts. It does not refactor duplication. It does not consider what happens when your user count jumps from fifty to five thousand. None of this makes the tools bad. It makes the hype incomplete.
Founders who believe the hype story end up surprised when their app starts misbehaving under real conditions. Founders who understand the gap plan for it.
Signs your vibe-coded app hit the hype wall
These are the most common signs that a vibe-coded prototype has outgrown its generated foundation and needs engineering attention:
- Sign-in breaks under pressure. Auth works in testing but fails when multiple users hit it at the same time, or sessions expire in unexpected ways.
- Every new feature breaks an old one. You add a settings page and the dashboard stops loading. Changes ripple because the codebase lacks clear boundaries.
- Performance degrades with real data. The app felt snappy with ten records. With a thousand, pages take seconds to render.
- You avoid touching certain files. Parts of the codebase feel fragile, and you route around them instead of fixing them.
- The investor demo needs a script. You rehearse a specific click path because straying from it risks a visible error.
- Costs climb without explanation. Database queries multiply, API calls balloon, and your hosting bill grows faster than your user count.
These symptoms do not mean vibe coding failed. They mean the prototype did its job and now needs engineering attention.
What vibe coding actually delivers well
Strip away the hype and vibe coding still offers genuine advantages that traditional development cannot match at the same speed and cost.
- Speed to first version. A working MVP in days instead of months. For market validation, that speed matters enormously.
- Accessible creation. Founders without engineering backgrounds build real software, test real ideas, and gather real feedback before hiring a team.
- Low-cost experimentation. You can build three variations of an onboarding flow in a weekend and test which one converts. Traditional development makes that experiment expensive.
- Rapid iteration on UI and flows. Changing a screen layout or adding a form takes minutes. That tight feedback loop sharpens product thinking.
These are not trivial benefits. For pre-seed founders testing whether an idea has legs, vibe coding provides leverage that did not exist two years ago.
What AI-generated apps skip: the prototype-to-product gap
The gap between prototype and product involves work that AI tools handle poorly or skip entirely.
- Structure. Vibe-coded apps grow by accumulation. Each prompt adds code without reorganizing what exists.
- Error handling. AI-generated code tends to handle the happy path well and the sad path badly.
- Performance under load. The tools optimize for “does it work?” not “does it work at scale?”
- Security beyond the basics. AI tools add auth scaffolding but rarely handle edge cases.
- Maintainability. No one refactors a vibe-coded app between prompts.
None of this makes vibe coding fake. It makes vibe coding incomplete without follow-through.
Checklist: Is your vibe-coded app a product or still a prototype?
Use this to gauge where you stand. Score yourself honestly.
- A new team member can understand the main flows by reading the code
- You can change one feature without worrying about breaking another
- The app handles bad input gracefully instead of crashing or showing raw errors
- Page load times stay under two seconds with your current data volume
- You have basic logging and can diagnose a user-reported bug within an hour
- Auth, payments, and admin actions have been tested beyond the happy path
- Your hosting costs scale roughly in line with your user count
- You can deploy a change and verify it works without a manual walkthrough
- Someone besides the original builder has made a successful change to the codebase
If fewer than five items are checked, you have a prototype. It may work, it may even have paying users, but it carries risks that compound as you grow. That is the gap the hype does not mention.
Is vibe coding real? Both real and hyped
Vibe coding is real enough to build a business on. Founders launch, get traction, raise money, and serve customers with vibe-coded apps every day. Dismissing it as a gimmick ignores evidence.
Vibe coding is also hyped enough to mislead. The narrative that you can go from idea to scaled product with prompts alone sets founders up for a painful surprise.
The founders who succeed with vibe coding treat it as a starting advantage, not a finish line.
What turns a vibe-coded prototype into a real product
The bridge between prototype and product is stabilization: fixing the structural gaps, handling the edge cases, and making the codebase clear enough to change with confidence. This is not a rewrite.
Spin by Fryga does this work. We step into vibe-coded and AI-generated codebases, diagnose the pain points, and stabilize the product without killing the momentum that got you here.
Vibe coding gives you the start. Stabilization makes it real.