What Is Vibecoding? Can Everyone Do It?
Imagine building digital tools without writing a single line of code. Welcome to vibecoding: a new approach to software development where AI turns ideas into applications in record time.
What Is Vibecoding—and Why Does It Matter?
Vibecoding is an emerging method of software development where AI interprets natural language and simple descriptions to build digital solutions. It's not traditional no-code—this is AI-assisted development, where users guide the process through conversations and prompts.
For professionals without a technical background, it unlocks an entirely new world: the power to create tools that used to require full development teams. That makes vibecoding especially relevant for industries like media, marketing, finance, and tech—where demand for digital solutions is growing fast, but developer capacity often lags behind.
From Interactive Widgets to Full-Fledged Applications
Vibecoding spans a wide range of complexity and functionality. On the simpler end, you can build interactive widgets—like price calculators or feedback forms—that embed easily via iframe. In the middle, you’ll find apps with data storage and user management, like job boards, content submission systems, or dashboards.
At the advanced level, AI can generate code within full development environments to build complete websites or systems. Here, prompts and product requirement documents (PRDs) become essential steering tools. While you don’t need to code, a basic grasp of technical concepts helps.
Vibecoding vs. AI Agents: What’s the Connection?
AI agents and vibecoding are two hot topics—but they’re not the same thing. So how do they connect?
In short:
Vibecoding is about building software using AI, usually via natural language and AI development tools. Think apps, dashboards, websites—created in partnership with AI.
AI agents are autonomous systems that act independently over time. They can analyze data, make decisions, and carry out tasks on your behalf.
Often, the two work together:
You can use vibecoding to build a dashboard—and then assign an AI agent to automate data gathering and reporting.
Example: AI-Powered Campaign Dashboard for a Media Agency
A media agency uses vibecoding to build a campaign dashboard.
The marketing team outlines its needs, and the AI builds an interface with graphs and data visualizations.
Then an AI agent steps in:
It monitors social media and news platforms.
It fetches data, analyzes results, and uploads weekly reports to the dashboard.
The result: a fully functional digital tool—built without developers, with AI acting as both builder and assistant.
The Technologies Powering Vibecoding
AI-assisted development is driven by a new wave of intelligent tools:
Gemini 2.5 Pro with Deep Research: Delivers targeted answers and generates code in response to user prompts.
Lovable.dev: Combines natural language understanding with interface and backend logic generation.
Windsurf: Provides a pro-level coding interface where AI acts as a co-developer.
Supabase: Handles authentication and data storage.
Model Context Protocol (MCP): Boosts the AI’s memory and resource access, helping it understand past context and reuse logic effectively.
Together, these tools are reshaping how software is made—putting language, not code, at the center of development.
Tool-Specific Workflows: What to Build and How
Each vibecoding tool brings unique strengths. Here's how to apply them to real use cases across different industries.
Lovable.dev: Simple Apps, Fast Results
Best for: Calculators, forms, quizzes, landing pages, and embeddable widgets
How to use it:
Start with a short, goal-focused prompt: “Create a pricing calculator for small businesses based on input like industry, team size, and monthly budget.”
Request specific UX elements like “card layout” or “progress bar”
Ask for embed options (iframe, code snippet, etc.)
Real-world example:
A marketing team built a branded ROI calculator in 45 minutes, embedded it on 12 client sites, and generated 3 new leads in the first week—without touching code.
Windsurf: AI Co-Pilot for Custom Apps
Best for: Dashboards, user portals, admin panels, and tools with backend logic
How to use it:
Open a new project and describe your goals: “An internal dashboard to track content submissions, including status filters and user-specific views.”
Use chat to ask the AI for specific logic: “Can you add role-based permissions?”
Review generated files and request refactoring if needed
Preview and deploy via the built-in test environment
Real-world example:
A fintech consultant built a cross-department expense tracker with multi-level approvals—saving her team weeks of manual work and thousands in development costs.
Gemini 2.5 Pro + Supabase: Scalable, Full-Stack Solutions
Best for: Contributor platforms, client-facing tools, and apps with data storage or user management
How to use it:
Describe your project to Gemini: “I need a contributor portal for freelance writers where they can pitch stories, track submissions, and get paid.”
Ask Gemini to generate the app architecture and integrate with Supabase for authentication and database logic
Implement code in your environment (e.g., Vercel, Replit, or your IDE)
Prompt Gemini to help with performance, security, and integrations
Real-world example:
A media company used this stack to build a contributor CMS—slashing dev time from 3 months to 2 weeks and onboarding 200+ freelancers in the first quarter.
What You Can Build: Practical Ideas by Industry
Vibecoding isn’t just for developers—it’s for professionals who need digital tools and don’t want to wait months for them. Here are a few ways it's already being used:
For Media
Editorial dashboards: Manage assignments, deadlines, and publishing pipelines
Submission portals: Accept pitches and submissions with automated tracking
Interactive content: Quizzes, calculators, visual explainers—fully embeddable
Analytics views: Audience insights pulled from Google Analytics, social, or newsletter platforms
For Marketing
Campaign dashboards: View performance metrics across platforms in one place
Client portals: Provide clients with branded, real-time campaign insights
Lead scoring engines: Build logic-based tools that qualify leads based on form inputs
A/B testing analyzers: Track split-test performance and visualize results instantly
For Finance
Budgeting tools: Create calculators for projections, margins, or ROI
Client data portals: Build secure interfaces to upload or review sensitive documents
Compliance trackers: Check inputs against rules and log exceptions
KPI dashboards: Pull and visualize data from accounting systems or spreadsheets
For Tech Teams
Project tracking: Custom task boards tailored to your workflow
Internal admin tools: Manage operations, users, and logs
API explorers: Quickly test endpoints and log responses
Knowledge bases: Create searchable documentation portals
Tips, Challenges, and How to Level Up
Vibecoding empowers—but it still requires judgment. Here’s how to avoid common pitfalls:
Be specific: Vague prompts = vague results. The more detailed your language, the better the output.
Request clean code: Ask for modularity, comments, and refactoring as you go.
Validate security: Always request secure authentication flows and encrypted data handling.
Start small: Build simple tools first—then evolve them as you learn how to guide the AI more precisely.
Want to Try It? Start Here
If you’re ready to dive in, here’s your first project:
Goal: Create a contact form with name, email, and message fields
Tool: Lovable.dev
Prompt: “I need a contact form that stores submissions in a database and sends a confirmation email.”
Next steps: Ask for email validation, dark mode, and iframe embed
Bonus: Add a logic rule—if the email ends in “@company.com,” tag the message as “Priority”
This simple exercise will give you a full loop of building, testing, and iterating—all without code.
PRDs: Your Blueprint for AI-Driven Development
No matter your experience level, product requirement documents (PRDs) are crucial. They help the AI understand what you’re trying to build—serving as a bridge between business goals and technical execution.
A strong PRD includes:
Problem and objectives
User journey and key features
Visual preferences and data structures
Integrations and security requirements
You can even ask AI to write the PRD. Just describe your idea, and the AI will structure it into a clear development blueprint—kickstarting an iterative process where your input guides the build.
Looking Ahead: More Than Just Apps
Vibecoding signals a deeper shift: software creation is no longer reserved for developers. It can accelerate innovation, lower costs, and unlock new digital value across organizations.
It's no longer about knowing how to code—it's about knowing how to define problems and express them clearly. In a future where digital tools are expected everywhere, the ability to “speak software” becomes a core skill.
Vibecoding isn’t a passing trend—it’s a powerful new method for building software. For professionals in media, marketing, finance, and tech, it means moving from idea to digital prototype without a heavy development process.
You don’t need to be a coder—just someone who can clearly articulate what you want to build. If you can do that, AI is ready to partner with you. The real question isn’t “Can I build this?” but rather, “Can I explain it well enough for AI to understand?”
Dive Deeper
🎥 This Is the Future of App Development (YouTube) – A must-watch video that demonstrates what vibecoding looks like in action, featuring tools like Lovable.dev.
🧠 Introduction to AI Agents – Langchain Docs – Great resource if you’re curious about how AI agents work.
(https://docs.langchain.com)🛠️ Supabase – Explore this open-source backend-as-a-service tool often used in AI-powered builds. (https://supabase.com)
✍️ How to Write a Great PRD with AI (Guide) – Learn how to use AI to draft effective product requirement documents.
(https://www.productplan.com/glossary/product-requirements-document-prd/)