What are some vibe coding examples?
The things people actually vibe code fall into four groups: one-off scripts that answer a single question and are then deleted, internal tools nobody outside the team will ever open, prototypes and MVPs built to test whether an idea has legs, and small marketing or landing pages. What those examples share is not a language or a framework — it is that the code has a short expected life, a small blast radius if it is wrong, and an output you can check by looking at it. Vibe coding gets expensive in the opposite case: long-lived code, many users, and mistakes that stay quiet for months.
What counts as a vibe coding example
Vibe coding is describing what you want in plain language and letting an AI write the code, accepting most of the output without reading every line. So an example is not a language or a stack — almost anything can be generated. The useful question is which kinds of things people build this way and keep being glad they did. The background on the term and where it came from is in what is vibe coding.
Three questions sort the good examples from the regrettable ones. How long will this code live? Who is affected if it is wrong? And can you tell it is right by looking at what it produces? Where all three answers are friendly, generating the code is close to free. Where they are not, the time you save writing is spent later reading — usually under worse conditions.
The four things people actually vibe code
Ask around and the same categories come back. They are ordered here from safest to most consequential.
- One-off scripts and data pulls — pull a CSV, reshape it, print a number, delete the file. The answer is checkable on sight and the code never runs again.
- Internal tools — an admin screen, a bulk-edit form, a queue viewer used by three colleagues who will tell you within the hour when it misbehaves. No public surface, no untrusted input.
- Prototypes and MVPs — the smallest build that tests whether anyone wants the thing at all. Most of a minimum viable product is meant to be thrown away, so structure matters less than speed.
- Landing pages and small marketing sites — a page, a form, a pricing table. Visual output, reviewable by looking at it, cheap to change tomorrow.
A real example from building AgentCeres
The homepage of AgentCeres — the AI Growth Officer at agentceres.com — carries an illustration of a knowledge graph: a ball of connected nodes, the kind of picture Obsidian users will recognise. We wanted the organic look a physics layout gives you, and none of the cost of shipping a physics engine to every visitor. So a scratch script ran the force-directed simulation offline — repulsion between nodes, springs along the edges, a fixed seed so the result was reproducible — and the coordinates it produced were pasted into the page as a static SVG.
That is the shape of a vibe coding example that ages well. The generated thing was disposable; only its checked output shipped. The graphic sends no JavaScript to the browser, so a bug in the layout script could not reach a visitor at runtime — the worst case was a graph that looked wrong, which you catch by looking at it. The multi-tenant runtime behind the product is the opposite case, and we treat it that way: nothing lands there without being read and tested, because a quiet mistake in that code follows customer data around for months.
Where each kind breaks
Every category has a failure mode, and it is usually the same one wearing different clothes: the code outlives the assumptions it was generated under. The example was fine; what changed is that it stopped being an example.
| Example | Why it works | Where it breaks |
|---|---|---|
| One-off script | The output is checkable at a glance and the code dies the same day | It quietly becomes a weekly habit and nobody ever read what it does to the data |
| Internal tool | A small, known audience who report problems straight to you | It gains an external login, or starts handling data you would not want leaked |
| Prototype or MVP | Answering "does anyone want this?" matters more than structure | It ships to paying customers unchanged and the throwaway becomes the foundation |
| Landing page | Visual output you can review by looking at it | Forms, payments and tracking fail silently — the page still looks correct |
FAQ
- What is the most common vibe coding example?
- Small one-off scripts. Someone needs a CSV reshaped, a log file counted, an API called once to check something, or a chart drawn for a meeting. The task is specific, the result is obvious when you look at it, and the code is deleted afterwards. That combination is why it is the least risky use of the approach and the one people reach for first, often without thinking of it as vibe coding at all.
- Can you vibe code an entire product?
- People do, and some of those products ship and make money. The honest caveat is that generating the first version is the easy part; the expensive part starts when real users depend on it, when a change has to not break the last three features, and when something goes wrong at 2am and nobody on the team has read the code. Plenty of founders build a first version this way and then go back and understand the parts that carry risk.
- Is vibe coding a good way for beginners to learn?
- It is a good way to get something working and a poor way to learn on its own, because the fastest path to a result skips the understanding. A reasonable middle ground is to generate freely for throwaway work and to read every line of anything you intend to keep, asking the model to explain what it wrote rather than only whether it works. What you keep is what you will eventually have to debug.
- What should you not vibe code?
- Anything where a quiet mistake is expensive: authentication and permissions, payment and billing logic, anything touching personal data, database migrations, and code that other people's work depends on. The common thread is that failures there do not announce themselves the way a broken layout does. You find out from a customer, an auditor, or a bill.
- Do vibe-coded apps actually get users?
- Getting the app built has never been the hard part of getting users, and it is now easier than it has ever been — which means distribution is the scarce thing, not code. The apps that find users do the same unglamorous work every other product does: pick a narrow audience, show up where those people already are, and give them a reason to care. Building faster only moves the bottleneck downstream.
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