What is Vibe Coding? The Real Definition

What is Vibe Coding? The Real Definition Behind the Hype

"Vibe coding" is one of those terms that spread faster than anyone bothered to define it. Depending on who you ask, it means pasting a bug into ChatGPT, letting an AI build your entire app, or something in between. The word carries a shrug — you describe roughly what you want, the machine figures out the details, and you feel your way toward something that works.

That looseness is the whole problem. Vibe coding is real and useful, but the gap between the marketing version ("build apps with only your words") and how working developers actually use it is enormous. This article draws the map: what vibe coding is, where it shines, where it quietly breaks, and what it takes to run it in production without shipping something you'll regret.

The term emerged from AI-assisted development discourse

The phrase gained its name in early 2025, when Andrej Karpathy described letting an LLM write code while he "fully gives in to the vibes" and barely reads the diffs. It was half a joke. It became a movement.

Because it started as a joke, it never got a rigorous definition. For a hobbyist it means prompting an app into existence. For a professional it means an accelerated version of work they already understand. Both are called vibe coding. Both are correct. Neither tells you when to trust the output.

Vibe coding as description-first development

At its core, vibe coding is description-first development. You state intent in natural language; the AI generates code. It is not no-code — there is still code, and someone still has to read it. The appeal is obvious: natural language beats wrestling with syntax you half-remember, and iteration feels like conversation instead of documentation archaeology.

Vibe coding as agent-driven architecture

The more interesting version goes beyond one-shot generation. An agent doesn't just write a function on request — it reads your conventions, understands your project, and can act on your infrastructure. It can provision a database, wire a webhook, or run your tests.

That's where consistency stops being a nicety. When an agent only writes an isolated function, a weird choice is easy to fix. When an agent touches your auth, your billing, and your schema in the same session, drift compounds. This is the difference between vibe coding as a toy and vibe coding as an engineering practice.

The spectrum: from ChatGPT chat to deterministic workflows

Think of it as a spectrum:

• Casual: Paste a problem into ChatGPT, copy the output, hope. Great for learning and throwaway prototypes.
• Structured: Agents that follow a documented convention file so their output stays coherent across a codebase.
• Production: Agents that interview you, apply repeatable patches, and provision real services — with guardrails.

Why "vibe" isn't pejorative (and why it should be precise)

"Vibe" honestly names how a lot of good engineering feels: intuition plus trial-and-error, not rigid up-front specs. There's nothing wrong with that. But production systems need constraints the vibe alone won't supply — idempotency, deterministic patches, contracts. The contradiction at the heart of vibe coding is that vibes genuinely work, and they need structure to keep working.

Vibe Coding in Practice: What It Actually Looks Like

The ChatGPT control surface. Using a chat model as a shell for your codebase is the lowest-friction entry point and the highest-risk one. Hallucinations are cheap when you're prototyping and expensive when you're writing billing logic.

Copilot in the IDE. Real-time completions accelerate patterns you already know. You still supply the intent and still review every line. Copilot makes you faster at what you understand; it doesn't make architectural decisions for you.

The multi-turn interview model. This is the approach BoiledPlate takes: your agent asks structured questions about your SaaS — name, languages, billing model, theme — then reshapes the codebase with deterministic patches and provisions Stripe, Supabase, and Google sign-in in one session. Interviews beat static templates because the agent adapts to your answers instead of handing you a box of parts and a README.

No-code / low-code builders. Tools like Vibecode and FlutterFlow pair a visual editor with AI. They're fast until you hit the customization ceiling — the wall where the abstraction no longer bends to what you need, and there's no code to drop into.

Why Vibe Coding Works (And When It Fails)

The human loop is not optional. AI-generated code is a starting point, not gospel. Review, testing, and refinement are the difference between vibe coding that ships and vibe coding that pages you at 3am. Success here is iteration, not luck.

Where it breaks down is predictable:

• Billing, webhooks, side effects — anything that needs determinism.
• Security-critical code — needs threat modeling, not vibes.
• Novel problems with no training-data analog.
• Multi-service orchestration — agents drift without conventions.

What it solves beautifully is the opposite: boilerplate and repetitive integration work. The Stripe-to-Supabase-to-email wiring. Tedious, well-understood, endlessly fiddly — the plumbing that eats your launch. Agents excel at deterministic, well-documented tasks.

What it doesn't solve: product vision, UX, architecture at scale, and understanding trade-offs. Those stay human.

Vibe Coding vs. Other Development Models

vs. TDD. Traditional test-driven work goes spec → test → code. Vibe coding goes idea → sketch → iterate → ship. TDD wins where correctness is defined up front; vibe coding wins where the requirement is still forming.

vs. Copilot pair programming. Copilot is reactive and incremental. Interview-style agents are proactive — they ask questions and provision services. Different mental models that overlap in practice.

vs. no-code. No-code removes code and gives you fixed abstractions. Vibe coding adds AI to code and keeps it flexible — with a ceiling you eventually reach either way.

vs. contract-first development. This is the important one. Contracts plus vibe coding produce consistency. Pure vibe with no contracts produces drift and hallucination. Which brings us to the file that makes the difference.

Building for Vibe Coding: The AGENTS.md Contract

An agent cannot smell a codebase. Give it three ways to fetch data and it will cheerfully add a fourth — not because it's dumb, but because it has no reason to prefer yours. We wrote a whole piece on why you should write conventions for the agent, not the next hire, and the core idea is simple: document the one right way.

An AGENTS.md typically covers:

• How to access secrets (env vars, not config files).
• Where database queries live (a services layer, not components).
• How auth and RLS work together.
• Webhook patterns and idempotency.
• Naming for composables, types, and endpoints.

BoiledPlate ships one. Agents read it before patching, which is exactly why the patches stay deterministic — every agent follows the same rules. Building your own is easy to start: document a single convention with examples, then test it by asking an agent to apply it. If it gets it right, the contract works.

The Billing and Security Edge Cases Vibe Coding Misses

This is where "vibe it and see" gets expensive.

Webhook idempotency. The naive flow — process webhook, update database, send email — dies the first time the network hiccups and Stripe retries. Now the customer has two charges. The fix is idempotency keys, database constraints, and logic that's safe to run twice. Stripe's own best practices exist for exactly this reason. We wrote about why your checkout success page should never touch your billing state — the webhook is the source of truth, not the redirect.

RLS. You cannot vibe your way through row-level security. Policy design needs threat modeling and a real understanding of your auth model. Agents can apply proven patterns; they can't invent your security boundary for you.

Consent and GDPR. The German withdrawal waiver (Widerrufsrecht) is a genuine nightmare to encode into a checkout flow — see how we wired it into the pay button. It needs legal review and a deterministic implementation, not a hopeful prompt. BoiledPlate ships a reference implementation; you still customize it.

Vibe Coding at Scale, Governance, and the Future

Where it hits the wall. At ten thousand lines of agent-patched code, conventions drift. Multiple teams and multiple agents produce multiple patterns. Six months later, nobody remembers why the code is shaped this way. Strict conventions are the only thing standing between orchestration and chaos.

Deterministic patches vs. merge conflicts. If an agent rewrites your code on every update, conflicts are inevitable. The answer is semantic, agent-readable release notes plus opt-in updates: you see what changed and choose to merge or ignore it, instead of drowning in merge hell.

Governance. Treat agent output like any pull request. Trust it on boilerplate and structure; scrutinize it on security and side effects. Lint, type checks, and integration tests catch the obvious failures — and integration tests, in particular, expose misunderstood requirements faster than reading diffs ever will. Reject output that hallucinates APIs, over-abstracts, ignores your ORM convention, or hard-codes credentials. The rule of thumb: the human owns why, the agent owns how.

The convergence. The practical future of production vibe coding isn't more freedom — it's more discipline. TypeScript strict mode means agents can't hallucinate types. An opinionated stack like Nuxt + Supabase gives agents defaults to follow. An AGENTS.md prevents drift. Put those together and the vibes finally have a floor to stand on.

Glossary

• Vibe coding: AI-assisted development where you describe intent and iterate on generated code.
• Agent: An AI model (often Claude) with tool use and multi-turn reasoning.
• Deterministic patch: A repeatable code change applied to customize a codebase.
• Idempotent: Safe to call multiple times with the same result.
• RLS: Row-level security enforced at query time.
• AGENTS.md: Documented conventions that keep agent output consistent.
• Plumbing: The integration work between services that isn't clever but eats weeks.

Vibe coding is not a magic trick and it's not a punchline. It's a real shift in how software gets built — one that works best when you stop pretending the vibes are enough and give them a contract to follow.