Vibe coding is a style of AI-assisted software development where you describe what you want in plain language and an AI tool writes or edits the code for you. Instead of manually coding every line, you guide the AI with prompts, test the output and refine it until the app or feature works.
It is fast, accessible and surprisingly powerful. It is also easy to misuse.
The short version:
- You explain the software you want to build.
- An AI coding tool generates code, files, interfaces or an app scaffold.
- You run the result and describe what is wrong or missing.
- The AI revises the code.
- You keep prompting, testing and refining.
- Before production, a human still needs to review, test and secure the result.
Quick Answer: What Is Vibe Coding?
Vibe coding is the practice of building software by prompting an AI coding tool with natural language instructions, then testing and refining the generated code. The user focuses on the desired outcome, while the AI writes, edits, explains or debugs much of the code.
A practical definition:
| Item | Explanation |
|---|---|
| Definition | Building software by guiding AI tools with natural-language prompts |
| Main input | Plain English instructions, examples, screenshots, errors or desired behaviour |
| Main output | Code, UI components, scripts, app scaffolds, tests or full prototypes |
| Best for | Prototypes, MVPs, simple apps, learning, internal tools and UI mock-ups |
| Main benefit | Faster creation and lower barrier to building software |
| Main risk | Deploying code you do not understand, have not tested or have not secured |
| Skill required | Easy to start, but coding knowledge helps with quality control |
Why Is It Called Vibe Coding?
The term “vibe coding” refers to coding by describing the vibe, intent or behaviour of the software rather than manually specifying every technical detail.
Instead of starting with:
- database schemas
- component architecture
- routing plans
- function signatures
- test files
- deployment configuration
A vibe coder might start with:
- “Build me a clean booking form for a yoga studio.”
- “Make this app feel like a modern SaaS dashboard.”
- “Add login and save each user's notes.”
- “Fix this error and explain what went wrong.”
- “Make the page mobile-friendly and easier to read.”
The person still directs the work. The AI handles much of the code generation.
How Vibe Coding Works
Vibe coding works by turning natural-language instructions into software code using an AI coding tool. The user gives prompts, tests the generated output, reports problems back to the AI and repeats the process until the app or feature works.
A typical workflow looks like this:
| Step | What you do | What the AI tool does | What to check |
|---|---|---|---|
| 1. Describe | Explain the app, feature or bug | Interprets the goal | Is the request specific enough? |
| 2. Plan | Ask for a plan before code | Suggests files, components and steps | Does the plan match the real need? |
| 3. Generate | Approve a small first build | Creates or edits code | Does it run? |
| 4. Test | Open the preview or run tests | Responds to errors and feedback | Are there bugs or missing cases? |
| 5. Refine | Prompt changes one feature at a time | Revises the implementation | Is the code getting cleaner or messier? |
| 6. Review | Ask for explanations and risks | Explains trade-offs and possible issues | Do you understand the result? |
| 7. Harden | Add tests, validation and security checks | Helps improve quality | Is it safe enough to launch? |
| 8. Deploy | Ship only after review | May help with deployment steps | Are secrets, data and users protected? |
The safest loop is:
- Prompt.
- Generate.
- Run.
- Test.
- Review.
- Refine.
- Document.
- Repeat.
Vibe Coding vs Traditional Coding
Vibe coding is real software creation, but it is not the same as traditional manual coding. In traditional coding, the developer usually writes and understands most of the implementation. In vibe coding, the user directs the work and the AI generates much of the implementation.
| Factor | Vibe coding | Traditional coding |
|---|---|---|
| Main input | Natural-language prompts | Manual code writing |
| Speed | Very fast for prototypes | Slower but more controlled |
| Skill needed to start | Lower | Higher |
| Skill needed for quality | Still important | Essential |
| Code understanding | May be limited if the user does not review | Usually stronger |
| Best use case | MVPs, demos, simple apps, UI mock-ups, internal tools | Complex products, production systems, regulated software |
| Main risk | Hidden bugs, insecure code, messy architecture | Human error, slower delivery, over-engineering |
| Maintenance | Can become difficult if code is not reviewed | Easier when well structured |
| Testing need | Very high | High |
| Ownership | User may not fully understand the output | Developer usually owns the design decisions |
The best teams do not treat vibe coding as a replacement for engineering. They treat it as a faster way to explore, scaffold and iterate.
Is Vibe Coding Real Coding?
Yes, vibe coding can be considered a form of coding because it creates and changes software. But it changes the role of the human.
In vibe coding, the human often acts as:
- product manager
- prompt writer
- tester
- reviewer
- debugger
- designer
- acceptance criteria writer
- quality-control lead
The AI acts more like:
- junior developer
- pair programmer
- code generator
- refactoring assistant
- debugging helper
- documentation assistant
- UI scaffolder
That can be powerful, but it also means the human must know when the AI is wrong.
What Can You Build With Vibe Coding?
Common vibe coding examples include building landing pages, simple web apps, dashboards, browser extensions, automation scripts, chatbots and prototypes. These projects are usually small enough for AI to generate quickly but still require testing and review.
| Project | Example prompt | Difficulty | Main risk |
|---|---|---|---|
| Landing page | “Build a responsive landing page for a Melbourne accounting firm with services, testimonials and a contact form.” | Easy | Generic design or poor accessibility |
| Personal budget tracker | “Create an app that tracks income, expenses and monthly savings.” | Medium | Incorrect calculations or weak data storage |
| Data dashboard | “Build a dashboard that shows sales by month and top products.” | Medium | Data handling errors or misleading charts |
| Browser extension | “Make a Chrome extension that saves highlighted text to a notes page.” | Medium | Browser permissions and privacy issues |
| Chatbot | “Create a chatbot that answers customer FAQs from this document.” | Medium | Inaccurate answers or missing escalation rules |
| API integration | “Connect this form to a CRM API and show success or error states.” | Hard | Authentication, rate limits and security problems |
| Internal tool | “Build an admin page to update product records.” | Hard | Access control and accidental data changes |
| Prototype SaaS | “Create a simple project management app with users, projects and tasks.” | Hard | Poor architecture and future maintainability |
Major Vibe Coding Tools and Platforms
Popular vibe coding tools include Cursor, GitHub Copilot, Replit Agent, Lovable, Bolt.new, Windsurf, ChatGPT, Claude, v0 and other AI coding platforms. Some tools work inside a code editor, while others generate full apps, interfaces or prototypes from prompts.
| Tool or platform | Type | Best for | Beginner friendly? | Notes |
|---|---|---|---|---|
| Cursor | AI-first code editor | Editing, refactoring and understanding codebases | Medium | Familiar to VS Code users and strong for codebase-aware workflows |
| GitHub Copilot | IDE coding assistant | Autocomplete, chat, tests, explanations and GitHub workflows | Medium | Strong mainstream option for developers already using GitHub |
| Replit Agent | Browser-based AI app builder | Building, running and hosting small apps | Yes | Good for fast prototypes and learning inside one environment |
| Lovable | Prompt-to-app builder | Full-stack web app prototypes and SaaS-style ideas | Yes | Useful for founders and non-technical builders |
| Bolt.new | Browser-based AI development platform | Fast web app generation and iteration | Yes | Strong for quick JavaScript and web prototypes |
| v0 by Vercel | AI UI generation | React and Next.js-style interfaces | Yes | Best for front-end components and UI mock-ups |
| Windsurf | AI-first IDE | Agentic coding workflows and multi-file changes | Medium | Useful for developers who want an IDE-based agent |
| Claude Code | Terminal coding agent | Local repository work, debugging, tests and refactors | Medium | Best used with Git and careful review |
| OpenAI Codex CLI | Terminal coding agent | Repository-based code editing and command-line workflows | Medium | Useful for agentic coding tasks across files |
| Devin | Autonomous software engineering agent | Longer-running engineering tasks | No to medium | Requires clear tasks, access control and code review |
| Figma Make / Figma AI | Design-to-code and prototyping | Interactive prototypes and design-led exploration | Yes | Good bridge between design and product ideas |
| Firebase Studio | Cloud AI development workspace | Firebase-backed prototypes and cloud app development | Medium | Strong fit for Google and Firebase ecosystems |
| Sourcegraph Cody | Codebase-aware AI assistant | Large codebase search, explanation and editing | Medium | Useful for teams with complex repositories |
| Continue | Open-source IDE assistant | Custom AI coding workflows | Medium | Good for teams wanting model and workflow control |
| Aider | Terminal AI pair programmer | Git-based command-line coding | Medium | Lightweight and good for focused code changes |
Vibe Coding Tool Categories
Different tools serve different parts of the vibe coding workflow.
| Category | What it does | Examples | Best fit |
|---|---|---|---|
| AI IDEs | Add chat, context and agentic editing inside a code editor | Cursor, Windsurf, JetBrains AI | Developers working in codebases |
| IDE assistants | Suggest code, explain files and help with tests | GitHub Copilot, Tabnine, Gemini Code Assist, Amazon Q Developer | Everyday developer productivity |
| Prompt-to-app builders | Generate apps from natural-language prompts | Lovable, Replit Agent, Bolt.new, Base44 | Founders, prototypes, MVPs |
| UI generators | Turn prompts or design intent into interfaces | v0, Figma Make, Builder.io, Framer AI | UI concepts, landing pages, prototypes |
| Terminal coding agents | Edit files and run commands from the terminal | Claude Code, Codex CLI, Aider | Developers comfortable with Git and command lines |
| Autonomous engineering agents | Work through larger software tasks with tools | Devin, OpenHands-style systems | Longer-running engineering workflows with review |
| Cloud development workspaces | Combine AI assistance with hosted environments | Firebase Studio, Replit | Browser-based building and deployment |
Benefits of Vibe Coding
The main benefits of vibe coding are speed, accessibility and rapid experimentation. It helps beginners and teams turn ideas into working prototypes quickly, while developers can use it to generate boilerplate code, debug issues and explore different implementation options.
Benefits include:
- Faster prototyping.
- Lower barrier to software creation.
- Easier experimentation for founders and product teams.
- More accessible learning for beginners.
- Quick generation of UI, boilerplate and simple scripts.
- Faster debugging when paired with error messages and logs.
- Better brainstorming for product ideas.
- Less friction moving from design idea to interactive prototype.
- More time for developers to focus on architecture and review.
- Faster iteration on MVPs and internal tools.
| Benefit | What it means | Example |
|---|---|---|
| Speed | You can create a first version quickly | Generate a dashboard in minutes instead of starting from a blank repo |
| Accessibility | More people can explore software ideas | A founder prompts a prototype without being a full-stack developer |
| Learning | Beginners can ask the AI to explain code | A student builds a small app and learns each file |
| Iteration | Changes can be made conversationally | “Make the form multi-step and add validation” |
| Developer leverage | Experienced developers can offload repetitive work | Generate tests, boilerplate or migrations |
| Design exploration | Product teams can test ideas earlier | Turn a mock-up into an interactive prototype |
Risks and Limitations of Vibe Coding
The main risks of vibe coding are insecure code, hidden bugs, poor architecture, over-reliance on AI, privacy issues and difficulty maintaining code the user does not understand. AI-generated code should always be reviewed, tested and checked before production use.
| Risk | What can go wrong | How to reduce it |
|---|---|---|
| Security flaws | AI may generate unsafe authentication, expose secrets or skip validation | Use security reviews, environment variables and established auth patterns |
| Hidden bugs | Code may appear to work but fail in edge cases | Add tests and check error handling |
| Poor architecture | Fast prototypes can become tangled | Refactor before scaling and ask for architecture review |
| Privacy issues | Sensitive data may be shared with AI tools | Use approved tools and redact private data |
| Dependency problems | AI may suggest outdated or unsuitable packages | Check package health and official documentation |
| Hallucinated APIs | The AI may invent methods, libraries or config options | Verify against docs and run the code |
| Maintainability | The user may not understand the generated system | Ask for explanations and documentation |
| Accessibility gaps | Generated UI may ignore keyboard or screen-reader needs | Test contrast, labels, focus order and semantic HTML |
| Compliance risk | Generated workflows may not meet legal or industry rules | Review against relevant standards before launch |
| False confidence | A working demo may look production-ready | Treat prototypes as drafts until reviewed |
When Should You Use Vibe Coding?
Vibe coding is best for prototypes, MVPs, personal tools, simple websites, internal automations, UI experiments and learning projects. It is less suitable for high-risk systems unless experienced developers review the work.
| Good fit for vibe coding | Be careful with or avoid without expert review |
|---|---|
| Landing pages | Payment systems |
| MVPs and prototypes | Healthcare software |
| Internal tools | Legal or compliance-heavy systems |
| Personal automations | Apps with sensitive customer data |
| UI experiments | Safety-critical software |
| Learning projects | Large-scale infrastructure |
| Boilerplate and scaffolding | Complex distributed systems |
| Simple dashboards | Security-critical identity systems |
A useful rule: the higher the risk, the more traditional engineering discipline you need around the AI output.
How to Start Vibe Coding Safely
To start vibe coding safely, begin with a small project, ask the AI for a plan, generate one feature at a time, test every change and avoid sharing sensitive data. Before launching publicly, review the code for security, privacy, accessibility and maintainability.
Follow this checklist:
- Start with a small project.
- Describe the goal clearly.
- Ask the AI for a plan before code.
- Generate one feature at a time.
- Use version control from the start.
- Run the app after each change.
- Ask the AI to explain unfamiliar code.
- Add tests for important behaviour.
- Review dependencies and licences.
- Never paste passwords, API keys or private customer data into prompts.
- Check accessibility for user-facing interfaces.
- Get a developer review before launching publicly.
Example Vibe Coding Prompts
Good prompts are specific. They describe the outcome, constraints and review criteria.
| Goal | Example prompt | Why it works |
|---|---|---|
| Build a landing page | “Build a responsive landing page for a Brisbane plumber with services, testimonials, a contact form and clear call-to-action buttons.” | Gives audience, layout and content needs |
| Create a small app | “Create a React app that tracks daily expenses, stores them locally and shows a monthly total.” | Defines stack, data behaviour and output |
| Debug an error | “Here is the error and the file. Explain the cause, then suggest the smallest safe fix.” | Requests understanding before changes |
| Improve security | “Review this login flow for security issues. Do not change code yet. List risks first.” | Separates review from implementation |
| Add tests | “Write tests for the main edge cases in this function and explain what each test covers.” | Encourages verification |
| Refactor | “Refactor this file to make it easier to maintain without changing behaviour.” | Sets a behavioural constraint |
| Improve accessibility | “Find accessibility issues in this page and suggest fixes for keyboard use, labels and contrast.” | Names specific accessibility concerns |
| Add a feature | “Add CSV export to this dashboard, but first explain which files need to change.” | Encourages planning and scope control |
Vibe Coding Best Practices
Use vibe coding for speed, but keep engineering discipline around the output.
Best practices:
- Ask for a plan before generating code.
- Keep prompts specific and scoped.
- Work in small changes.
- Use Git or another version-control system.
- Review diffs before accepting changes.
- Run the app often.
- Write tests for important paths.
- Ask the AI to explain trade-offs.
- Check dependencies against official documentation.
- Do not paste secrets, passwords or customer data into prompts.
- Review accessibility, privacy and security.
- Refactor prototypes before treating them as products.
- Use human review for production software.
Vibe Coding for Beginners
Vibe coding is useful for beginners because it lowers the barrier to getting something working. It can help you learn by doing.
Good beginner projects include:
- personal portfolio site
- calculator
- habit tracker
- recipe search app
- simple chatbot
- landing page
- file renaming script
- small dashboard
- study flashcard app
- local note-taking tool
Beginners should still learn fundamentals such as:
- variables and functions
- HTML, CSS and JavaScript basics
- how HTTP requests work
- where data is stored
- how authentication works
- how to read errors
- how to use Git
- how to test code
- basic security habits
Vibe coding can help you start, but understanding helps you improve.
Vibe Coding for Professional Developers
For experienced developers, vibe coding is less about avoiding code and more about increasing leverage.
Professional uses include:
- generating boilerplate
- exploring unfamiliar libraries
- creating first drafts of tests
- refactoring repetitive code
- explaining legacy code
- drafting documentation
- building internal tools
- prototyping product ideas
- reviewing code for risks
- converting designs into first-pass components
Professional developers should be especially careful with:
- architecture decisions
- security-sensitive changes
- database migrations
- dependency updates
- authentication and authorisation
- concurrent systems
- production infrastructure
- compliance-heavy workflows
How Vibe Coding Changes Software Teams
Vibe coding changes who can participate in software creation. Designers, product managers, founders and operators can now produce interactive prototypes without waiting for a full engineering cycle.
That can be useful when teams treat the output as a draft.
| Team role | How vibe coding helps | What still needs review |
|---|---|---|
| Founder | Turns an idea into a demo quickly | Architecture, security, scalability and cost |
| Product manager | Creates prototypes to clarify requirements | Edge cases, data flow and feasibility |
| Designer | Tests interactive product ideas | Accessibility, responsiveness and implementation quality |
| Developer | Speeds up boilerplate, tests and refactors | Correctness, maintainability and code style |
| Student | Learns by building and asking questions | Fundamentals and debugging skills |
| Operations team | Creates small internal tools | Permissions, data handling and reliability |
Is Vibe Coding Safe for Production?
Vibe coding can help create production software, but vibe-coded output should not be treated as production-ready by default.
Before launch, check:
- Does the code have tests?
- Are secrets stored safely?
- Is authentication implemented correctly?
- Are user permissions enforced server-side?
- Are dependencies maintained and reputable?
- Is user input validated?
- Are errors handled cleanly?
- Is private data protected?
- Is the UI accessible?
- Can someone maintain the code later?
- Has a qualified developer reviewed high-risk parts?
A working demo is not the same as secure, scalable and maintainable software.
FAQ About Vibe Coding
What does vibe coding mean?
Vibe coding means using natural-language prompts to guide an AI tool that generates, edits, explains or debugs software code.
Who coined vibe coding?
The term became widely associated with AI researcher Andrej Karpathy, who used it to describe a style of coding where the developer leans into AI-generated code and guides the outcome conversationally.
Is vibe coding good for beginners?
Yes, vibe coding can help beginners build simple projects and learn concepts faster. Beginners should still learn basic programming, testing and security principles so they can understand and improve the AI-generated code.
Can vibe coding replace programmers?
Vibe coding can automate parts of programming, but it does not fully replace skilled developers. Complex software still needs architecture, debugging, security, testing, deployment judgement and long-term maintenance.
Is vibe coding safe?
Vibe coding can be safe for low-risk projects if the code is tested and reviewed. It becomes risky when people deploy AI-generated code without understanding, securing or maintaining it.
What are the best vibe coding tools?
Popular vibe coding tools include Cursor, GitHub Copilot, Replit Agent, Lovable, Bolt.new, Windsurf, Claude Code, OpenAI Codex CLI, v0, Figma Make and Firebase Studio. The best choice depends on whether you want an editor assistant, prompt-to-app builder, UI generator or coding agent.
What can I build with vibe coding?
You can build landing pages, dashboards, simple apps, browser extensions, automation scripts, chatbots, prototypes, internal tools and learning projects.
Do I need to know how to code for vibe coding?
You do not need advanced coding skills to start vibe coding, but basic coding knowledge helps you test, debug and improve the output. The less you understand the code, the more careful you need to be before deploying it.
What is the difference between vibe coding and AI coding?
AI coding is the broad use of AI to help write code. Vibe coding is a more conversational style where the user describes the desired outcome and iterates with the AI until the software works.
What are the biggest risks of vibe coding?
The biggest risks are bugs, security flaws, privacy issues, poor architecture, technical debt and relying on code you do not understand.
Is vibe coding suitable for production apps?
Vibe coding can contribute to production apps, but only if the generated code is reviewed, tested, secured and maintained by someone with appropriate technical expertise.
Is vibe coding cheating?
No. Vibe coding is a tool-assisted way to create software. Like calculators, code libraries or IDEs, its value depends on how responsibly and skilfully it is used.
The Bottom Line
Vibe coding is best understood as AI-assisted software creation, not magic app development.
The human provides intent, direction and review. The AI generates much of the code. That makes software creation faster and more accessible, especially for prototypes, simple apps and experimentation.
But the faster the code is generated, the more important testing and review become. A working demo does not mean the code is secure, scalable or maintainable.
Use vibe coding to move faster. Use engineering judgement to make sure what you build is worth keeping.
About the author
Hi, I'm Jason Futrill.
I'm an tech professional and commentator exploring how intelligent systems are reshaping work, creativity, and society.
More about me
