Vibe coding is building software by describing what you want to an AI tool in plain language, running what it produces, and steering by the result rather than by reading the code. Andrej Karpathy named it in February 2025, and by November Collins Dictionary had made it its Word of the Year. For founders, vibe coding is the fastest way yet to turn an idea into something a customer can click. It is not, on its own, a safe way to run a product with real users’ money or data.
This guide explains what vibe coding means, which tools people use for it in 2026, what the evidence says about speed and security, and a practical way to use it for an MVP without building a liability.
Key takeaways
- Vibe coding is great for prototypes and validation: landing pages, clickable flows, internal tools and demo apps.
- It is risky for production: AI tools often choose insecure code, and nobody on a pure vibe-coded project has read the code.
- The speed gain is real for small, new projects, but studies of experienced developers on large codebases show mixed results.
- Use a two-stage plan: vibe-code to learn what users want, then have an engineer review, harden or rebuild before you take payments or store personal data.
What is vibe coding? The original meaning
The term comes from a post Andrej Karpathy, an OpenAI founding member and former Director of AI at Tesla, published on X on 2 February 2025. He described “a new kind of coding” where you “fully give in to the vibes” and “forget that the code even exists”: you talk to the AI, accept its changes, paste error messages back in, and judge the app by whether it works (Karpathy on X). He framed it as fine for “throwaway weekend projects.”
The word spread fast. Collins Dictionary named “vibe coding” its Word of the Year 2025, describing it as an emerging software development practice that uses AI to turn natural language into computer code.
Two meanings now circulate, and it helps to keep them apart:
| Vibe coding (strict sense) | AI-assisted engineering | |
|---|---|---|
| Who reads the code | Nobody, or barely | A developer reviews every change |
| How you judge it | “Does it run and look right?” | Tests, code review, security checks |
| Best for | Prototypes, demos, personal tools | Products with users, payments, data |
| Main risk | Hidden bugs and security holes | Slower than pure vibe coding |
When someone says they “vibe coded” an app, ask which one they mean. The difference decides whether you can trust it with a customer.
How developers actually use vibe coding in 2026
The Stack Overflow 2025 Developer Survey is the clearest large sample. Most developers now use AI tools, but few rely on vibe coding for professional work, and trust in AI output is falling.
- 84% of developers use or plan to use AI tools in their development process, up from 76% in 2024 Stack Overflow Developer Survey, 2025
- 77% said vibe coding is not part of their professional development work Stack Overflow Developer Survey, 2025
- 46% distrust the accuracy of AI tool output, up from 31% the year before Stack Overflow Developer Survey, 2025
Read together, the numbers say: AI is now a normal part of building software, but professionals keep a human in the loop. Founders should copy that habit, not the hype.
Does vibe coding make you faster?
For a solo founder starting from a blank page, the honest answer is usually yes. Getting a working screen in an afternoon instead of a fortnight is a real change.
For experienced engineers working in large, mature codebases, the evidence is mixed. In a randomized trial, METR found that 16 experienced open-source developers took 19% longer to finish 246 real tasks when allowed to use early-2025 AI tools, even though they believed the tools had sped them up. METR has since said those results are out of date: in February 2026 it reported that developers are likely sped up more by today’s tools, but that its newer data is too unreliable to size the gain, partly because many developers refused to work without AI at all.
What this means for you: speed depends on the job. Vibe coding is fastest where there is little existing code to break and the stakes of a mistake are low. That describes a prototype, not a live product.
Myth vs fact
- MythAI can now build your whole startup product for you, so you don't need engineers.
- FactAI tools can produce a working prototype quickly, but they often make insecure choices and nobody has reviewed the result. Veracode found models picked the insecure option in 45% of security-relevant coding tasks.
- MythIf the app runs and the demo looks right, it is ready to launch.
- Fact"It works" is not the same as "it is safe." Access control, data validation and secret handling are invisible in a demo and are exactly where AI-generated apps have failed.
The security problem founders need to understand
In its 2025 GenAI Code Security Report, Veracode tested more than 100 language models on 80 coding tasks where there was a secure and an insecure way to write the code. The models chose the insecure option 45% of the time. That is a measure of risky tasks, not of all AI-written code, but it is the kind of code that matters most: logins, inputs and data access.
A real example: the US National Vulnerability Database lists CVE-2025-48757, an insufficient row-level security policy in apps generated by the Lovable platform (through 15 April 2025) that let unauthenticated attackers read or write database tables. Lovable disputes the entry, saying each customer is responsible for securing their own app’s data. Both readings carry the same lesson for founders: the tool will not take responsibility for your users’ data. You will.
Vibe coding tools: which to use for what
Tools change monthly, so choose by job, not by brand. These are the main categories in 2026, with well-known examples. We don’t rank them; the right one depends on your product and your team.
| Job | Tool type | Examples | Good for founders when… |
|---|---|---|---|
| Describe an app, get a hosted prototype | Prompt-to-app builders | Lovable, Bolt, Replit, v0 by Vercel | You need a clickable, shareable demo this week |
| Work inside a real codebase | AI code editors | Cursor, GitHub Copilot | Someone on the team can read and review code |
| Hand off multi-step coding tasks | Coding agents | Claude Code, GitHub Copilot coding agent | You have tests and a reviewer, and want to move faster |
| Think, plan and write specs | General AI assistants | ChatGPT, Claude, Gemini | You are shaping scope, user flows and copy before any build |
Two practical rules:
- Own your code. Prefer tools that let you export the code to your own repository. If you can’t take it with you, you’re renting your product.
- Separate the prototype from production. Keep the vibe-coded demo on its own account and database. Never point it at real customer data.
How to use vibe coding to build an MVP (the two-stage plan)
The goal of an MVP is to learn whether people want what you’re building, with the least effort. Vibe coding fits the first half of that job perfectly. Here’s the workflow we recommend.
Stage 1: Learn fast (vibe coding is ideal)
-
Write the one-sentence problem
Name the user, the pain and the current workaround. If you can't, you're not ready to prompt anything.
-
Decide what the prototype must prove
One question only: will they sign up, finish the core task, or pay?
-
Prompt the smallest flow
Ask the tool for the one path that answers that question. Skip settings, admin panels and edge cases.
-
Use fake or test data
Keep real customer data out of the prototype entirely.
-
Put it in front of 5–10 target users
Watch them use it. Note where they hesitate, not just what they say.
-
Decide
Keep going, change direction, or stop. Most prototypes should change before they are rebuilt.
Stage 2: Make it safe (engineering judgment required)
-
Review or rebuild
An engineer reads the code and decides whether to harden it or start clean with the lessons learned.
-
Fix access and secrets
Check database access rules, authentication and that no keys ship to the browser.
-
Add tests for the core flow
The parts that handle money, logins and personal data need automated tests.
-
Set up monitoring
Error tracking and logs, so you find problems before your users tell you.
-
Launch to a small group
Then grow, measuring activation and retention, not page views.
For the full MVP process, read our guide on how to develop an MVP for your startup. If you haven’t tested demand yet, start with product validation before you prompt a single screen.
I like vibe coding for one job: getting a rough version in front of real users this week instead of next quarter. Where founders get hurt is the next step, when the prototype quietly becomes the product. Customer data, payments and logins deserve an engineer's review. Treat the prototype as a question you're asking, not something you're shipping.
When vibe coding is the wrong choice
Vibe coding is a poor fit when:
- You’re in a regulated category. Fintech, health and anything handling identity checks have compliance duties that a prompt can’t satisfy.
- The product is the technology. If your edge is an algorithm, data pipeline or performance, you need engineers who understand every line.
- You already have users. Rewriting live flows with unreviewed AI changes risks breaking what customers depend on.
- You can’t tell when it’s wrong. If nobody can judge the output, you can’t spot the bug that matters.
In those cases, AI-assisted engineering (AI tools plus a human reviewer) still gives you much of the speed, with far less risk.
A quick checklist before you share a vibe-coded app
Pre-share checklist
- The app uses test data only, or access rules have been reviewed by someone who reads code
- No API keys, passwords or service credentials appear in front-end code
- Sign-up, login and password reset have been tried by someone other than the builder
- You can export the code to a repository you control
- You know the single question this version is meant to answer
- You have a way to collect feedback (a short form, a call link or analytics)
Frequently asked questions
What is vibe coding in simple terms?
Vibe coding is building software by telling an AI tool what you want in plain language and accepting what it creates, judging it by whether it works rather than by reading the code. Andrej Karpathy coined the term in February 2025, and Collins Dictionary named it Word of the Year 2025.
Is vibe coding good for startups?
It is good for the earliest stage: prototypes, demos and validation tests that help you learn what users want. It becomes risky once you handle real users' data or payments, because AI tools frequently produce insecure code and nobody on a pure vibe-coded project has reviewed it.
What are the best vibe coding tools?
It depends on the job. Prompt-to-app builders such as Lovable, Bolt, Replit and v0 are quickest for a shareable prototype. AI code editors such as Cursor and GitHub Copilot, and coding agents such as Claude Code, suit teams with someone who can review code. Choose a tool that lets you export your code.
Is vibe-coded software secure?
Not by default. Veracode's 2025 testing found AI models chose the insecure option in 45% of security-relevant coding tasks, and the US vulnerability database lists a disputed flaw affecting apps generated on one popular platform. Have an engineer check access rules, secrets and inputs before launch.
Can I build my whole MVP by vibe coding?
You can build the prototype that way, and many founders should. Before launch, plan a review or rebuild by an engineer, especially for logins, payments and personal data. The prototype's job is to tell you what to build properly.
The bottom line
Vibe coding lowers the cost of finding out whether an idea deserves a real product. Use it to learn quickly and cheaply. Then treat everything you learned, not the generated code, as the asset you carry into the build. If you want help making that jump, tell us about your project and Techdella Studios will scope the safest route from prototype to MVP.
