What Is Vibe Coding? A Founder's Guide to Using It Right

By Stefan Ciancio on 2026-05-16

TL;DR: Vibe coding is an intuitive and unstructured approach to software development that prioritizes speed, momentum, and a developer's 'feel' for the code over strict specifications and long-term planning. It’s most effective during prototyping, hackathons, or early-stage MVP development where speed is the primary goal, but it often leads to significant technical debt if not properly managed and refactored later.

Quick answers

What is vibe coding exactly?

Vibe coding, or vibe-driven development, is when a developer builds software based on a general 'vibe' or intuition rather than a detailed technical specification. It involves rapid iteration, trusting your gut on implementation details, and focusing on getting a functional outcome quickly. It’s less about following a blueprint and more about feeling your way through the problem, often using familiar tools and frameworks to move as fast as possible.

Is vibe coding bad for software development?

It's not inherently good or bad-it’s a tool with a specific purpose. It is extremely effective for validating ideas, building prototypes, or shipping a Minimum Viable Product (MVP) under tight deadlines. However, it is a terrible long-term strategy for core, scalable systems. Relying on vibe coding for mature products leads to unmaintainable code, hidden bugs, and massive technical debt that can slow future development to a crawl.

Who typically practices vibe coding?

Vibe coding is common among startup founders, indie hackers, developers in hackathons, and small, agile teams focused on rapid prototyping. Essentially, anyone whose primary constraint is time and whose main goal is to prove a concept or get a product to market will naturally engage in vibe coding. Experienced engineers might also 'vibe code' a solution in an area where they have deep domain expertise and can rely on their intuition.

What is the difference between vibe coding and agile?

Agile is a structured, iterative development methodology with defined roles, ceremonies (like sprints and stand-ups), and a focus on delivering value in small, consistent increments. Vibe coding is an informal, often solo coding style that lacks this structure. While both prioritize speed and iteration, Agile provides a framework for sustainable development, whereas vibe coding is more of a short-term sprint that often disregards long-term maintainability.

Can AI tools like Copilot encourage vibe coding?

Absolutely. AI coding assistants like GitHub Copilot can supercharge vibe coding. They allow a developer to generate large blocks of code from a simple comment or prompt, reinforcing an intuitive, 'what feels right' approach. This accelerates the process but can also introduce subtle bugs or non-optimal patterns that the developer accepts based on the 'vibe' of the generated code, rather than deep analysis.

How do you manage a developer who only vibe codes?

Managing a vibe coder involves creating structured boundaries. Channel their speed and intuition into appropriate areas, like R&D, feature prototyping, or internal tools. For core product development, enforce stricter processes: require detailed tickets, mandate code reviews from other team members, and implement a robust testing and CI/CD pipeline. The goal is to harness their strength (speed) while providing guardrails to ensure quality and maintainability.

Defining "Vibe Coding": More Than Just Hacking

Let's get one thing straight: "vibe coding" isn't just a new-age term for sloppy work or hacking things together with no plan. I see it as a distinct state of development, one I've personally lived in for long stretches while building my companies. At its core, vibe coding is about leveraging deep intuition and pattern recognition to build software at an incredible pace. It’s the developer equivalent of a musician improvising a solo. You have a key, you have a tempo, and you have a 'vibe' you're aiming for, but the exact notes are discovered in the moment.

When we first built WebinarKit, we didn't have a 50-page spec document. We had a vision: make webinars simple and affordable for everyone. I worked with my developer, and we operated on pure vibe. We'd say, "Okay, we need a registration page. It should feel simple, fast, and high-converting." There were no wireframes. He'd take that instruction, dive into the code, and come back a few hours later with a functional page. We'd tweak it based on our gut feeling, not on A/B testing data we didn't have yet. This approach allowed us to go from concept to first paying customer in under three months. That’s the power of the vibe. It trades formal process for raw speed, which in the early days of a startup, is your most valuable currency.

The Psychology of the Vibe Coder

To understand vibe coding, you have to understand the mindset of the person doing it. It’s a flow state. It’s a high-wire act without a net. The vibe coder is often deeply familiar with their chosen tech stack. They aren't looking up basic syntax; they are thinking in systems and components. They’re drawing on years of experience, recognizing a problem as a variation of something they've solved a dozen times before. This allows them to skip the formal planning stage and jump straight to implementation, because the plan already exists as a mental model in their head.

There's a massive dopamine hit associated with this style of work. Seeing a feature come to life in a matter of hours, not weeks, is incredibly rewarding. It creates momentum. This energy is contagious in a small team and is what fuels the "0 to 1" phase of a startup. However, this psychological reward system has a dark side. It can become addictive. A developer accustomed to the thrill of vibe coding may find the more methodical, slower pace of mature software development boring and restrictive. They might resist writing documentation, adding comprehensive tests, or participating in detailed planning sessions because it doesn’t provide the same immediate feedback loop. It's a key reason why some brilliant "startup engineers" struggle to transition into roles at larger, more structured companies. It's not a lack of skill, but a mismatch in working temperament. I've seen it firsthand when hiring for my teams.

Where Vibe Coding Shines: The Startup & MVP Stage

There is no better tool than vibe coding when you're in the trenches of building a Minimum Viable Product (MVP). At this stage, your biggest risk isn't technical debt; it's building something nobody wants. Speed to market and the ability to rapidly iterate based on early customer feedback is everything. The goal is to validate your core hypothesis as cheaply and quickly as possible. Formal processes, extensive documentation, and perfectly scalable architecture are luxuries you cannot afford. In fact, they are a liability.

I remember a specific weekend when we were building WebinarKit. We had a hypothesis that our users wanted a way to add one-click offers inside their webinars. We didn’t write up a big project plan. On a Friday afternoon, I described the 'vibe' to my co-founder: "A simple button should appear under the video at a specific time. When clicked, it takes the user to a checkout page. Let's make it look clean and urgent." He spent that weekend vibe coding the entire feature. It wasn't perfect. The timing mechanism was a bit janky, and the backend was held together with digital duct tape. But on Monday, we deployed it to a handful of beta users. That single feature was responsible for over $10,000 in sales in its first month. That early validation gave us the confidence (and the cash flow) to go back and rebuild it properly. Had we spent a month architecting the 'perfect' solution, we might have missed the window or run out of motivation. This is the magic of vibe coding in its natural habitat.

The Inevitable Downside: When Vibes Create Technical Debt

Here's the brutal truth every founder has to face: every line of code written in a vibe-fueled haze is an IOU to your future self. This is technical debt, and the interest payments are brutal. While vibe coding got WebinarKit off the ground, it also planted landmines in our codebase. About a year and a half into the business, we were experiencing weird, intermittent issues. Some webinars would randomly fail to record. Customer support tickets were piling up, and our reputation was on the line.

After weeks of painful debugging, we traced the problem back to the original, vibe-coded video processing module. It was a tangled mess of scripts that had been patched and modified a dozen times. It had no tests, no documentation, and only the original developer truly understood its arcane logic. The time and money we saved by building it quickly over a weekend were now being paid back, with interest, in the form of emergency DevOps costs, lost customers, and team-wide stress. We had to make the difficult decision to halt all new feature development for a full quarter and rebuild the entire video processing pipeline from scratch. This time, we did it right: with proper architecture, extensive logging, and a full suite of automated tests. It was a painful but necessary lesson. Vibe coding can get you to Product-Market Fit, but it can't get you to scale. At some point, you have to pay the piper.

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Vibe Coding with AI: GitHub Copilot and the New Frontier

The rise of AI-powered coding assistants like GitHub Copilot has thrown a fascinating new variable into the vibe coding equation. These tools are, in many ways, the ultimate vibe coding accelerator. You can write a simple comment-`// create a React component that fetches user data and displays it in a card`-and the AI will spit out a functional block of code in seconds. This feels like magic. It amplifies a developer's intuition and allows them to move at a speed that was previously unimaginable.

I see this in my own work with my AI content tool, Maker AI. When we're building new features, we use AI to generate boilerplate code, write tests, and even suggest implementation strategies. It's a massive productivity boost. However, it's also a double-edged sword. The danger is what I call "vibe acceptance." The AI generates code that *looks* right and *feels* right, so the developer accepts it without fully scrutinizing it. The code might work for the happy path, but it could be missing crucial error handling, have security vulnerabilities, or be horribly inefficient under load. The AI is trained on a massive corpus of public code, which includes a lot of bad patterns and suboptimal solutions. Relying on it too heavily is like vibe coding on steroids. It amplifies your speed but also your potential to introduce subtle, hard-to-find bugs. AI assistants are powerful partners, but they are not a substitute for critical thinking and deep engineering discipline.

Vibe Coding vs. Structured Methodologies: A Comparison

Understanding when to use vibe coding requires knowing the alternatives. Structured methodologies like Agile, Scrum, and Waterfall exist for a reason: they bring predictability, scalability, and quality assurance to the complex process of software development. Vibe coding is the antithesis of this structure. Let's break down how they compare across key dimensions.

Here's a table comparing Vibe-Driven Development (VDD) with Agile/Scrum, its closest structured cousin:

Factor	Vibe-Driven Development (VDD)	Agile / Scrum
Speed	Extremely high for initial build (0 to 1). Slows down drastically as complexity and tech debt grow.	Moderate and consistent. Optimized for sustainable pace over long periods.
Planning Overhead	Virtually zero. Planning happens instinctively during coding.	Medium. Involves sprint planning, backlog grooming, retrospectives.
Flexibility	Maximum. Can pivot on a dime based on gut feeling or a single piece of feedback.	High. Designed to accommodate changes, but typically on a sprint-by-sprint basis.
Scalability	Very low. Code is often brittle, tightly coupled, and hard for others to understand.	High. Practices like code reviews, testing, and ceremonies are designed for team collaboration and scaling.
Quality & Maintainability	Low by default. Reliant on the individual developer's discipline. Often creates 'spaghetti code'.	High by design. Enforces practices that lead to cleaner, more maintainable code.
Ideal Use Case	Hackathons, proof-of-concepts, MVPs, solo-founder projects.	Mature products, growing teams, projects requiring long-term stability and collaboration.
Risk Profile	High risk of technical failure or unmaintainable product in the long term.	Lower risk of technical failure; risk is managed through iterative feedback loops.

As you can see, they are two different tools for two different jobs. Trying to build a large-scale enterprise system with vibe coding is like trying to build a skyscraper with a hammer and a gut feeling. Conversely, trying to build a weekend hackathon project with a full Scrum framework is like using a 50-ton excavator to plant a single flower. The key is knowing which tool to pick for the job at hand. For my businesses, like PressPitch AI, we use a hybrid: we vibe code new, experimental features in a sandbox, and once validated, they enter the formal Agile process to be rebuilt for production.

Managing a Vibe-Coding Team: A Founder's Guide

As a founder, you'll inevitably hire or work with people who are natural vibe coders. Their speed and creativity are a huge asset, but their lack of process can be a liability. Managing them effectively is about creating a system of "structured chaos." You want to give them the freedom to do what they do best, while protecting the business from the downsides.

First, you need to clearly define the playground. Create specific environments where vibe coding is not only allowed but encouraged. This could be for building internal tools, working on R&D for a future product, or rapidly prototyping a new feature that hasn't been committed to the roadmap. This channels their energy productively without putting your core product at risk.

Second, for the core codebase, non-negotiable guardrails are essential. This means mandatory code reviews by at least one other engineer. A vibe coder might write brilliant code, but a second pair of eyes will catch the missing edge cases or the non-obvious dependencies. It forces them to articulate their 'vibe' to someone else, which is the first step toward documenting it. Automated tooling is your best friend here. A strict CI/CD pipeline that runs linters, static analysis, and a comprehensive test suite before any code can be merged is a perfect, impersonal enforcer of standards. The pipeline doesn't care about your vibe; it only cares if the tests pass. Referencing my list of essential founder tools, things like GitHub Actions, CircleCI, and SonarQube are invaluable here.

From Vibe to Viable: A Framework for Refactoring

So you've successfully vibe-coded your way to an MVP and have paying customers. Congratulations. Now the real work begins: turning your prototype into a professional, scalable product. This refactoring process can feel daunting, but breaking it down into a clear framework makes it manageable. This is the exact process we've used multiple times to mature the WebinarKit platform.

Isolate and Contain the Module: Identify the most problematic, vibe-coded part of your application. The first step is to draw a clear boundary around it. Define its inputs and outputs. You want to treat it like a black box. This prevents the 'rot' from spreading and allows you to work on it without breaking unrelated parts of the system.
Write Characterization Tests: Before you change a single line of code, you need to understand what the code *currently* does, warts and all. Write a suite of integration tests that capture its existing behavior, including the bugs. These tests will act as your safety net. If your refactored code still passes these tests, you know you haven't broken existing functionality.
Choose Your Strategy: Rebuild or Refactor: Now you have a choice. If the module is small and its logic is fundamentally flawed, it's often faster to rebuild it from scratch next to the old one. If the core logic is sound but just messy, you can refactor it internally. This means cleaning up variable names, breaking down large functions, and improving performance, all while keeping the external API (its inputs and outputs) identical.
Implement with Best Practices: Whether rebuilding or refactoring, now is the time to do it right. Follow your team's established coding standards. Add unit tests for all new logic. Implement proper logging and error handling. Write clear documentation explaining what the module does and why it was designed that way.
Swap and Monitor: Once your new, improved module is ready and passing all tests (both the old characterization tests and the new unit tests), it's time for the swap. Deploy the new code and monitor it closely. Watch your error logs and performance metrics like a hawk. I learned this the hard way when refactoring part of our system that interacted with payment gateways. A small oversight can have huge financial consequences, which is a lesson I've carried into my work with ProcessingScoop.

This methodical process turns the chaotic art of refactoring into a repeatable science, allowing you to systematically pay down your technical debt.

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The Future: Is Vibe Coding Just...Coding Now?

I have a controversial take on this. I believe the line between "vibe coding" and standard, professional development is becoming increasingly blurry, thanks to three major trends: high-level frameworks, superior developer experience (DX), and AI assistants. Frameworks like Ruby on Rails, Next.js, and Laravel have abstracted away so much complexity that developers can build powerful features with very little boilerplate. They're designed to let you work at a higher level of intuition.

Think about it. When you use a modern framework, you're inherently trusting the 'vibe' of its creators. You follow their conventions and trust their abstractions to handle the nitty-gritty details of routing, database access, and security. This allows you to focus on your application's unique logic, moving much faster and more intuitively than if you were building everything from the ground up. This is a form of institutionalized vibe coding.

When you add AI assistants into the mix, the effect is magnified. Development is becoming more of a conversation, a dialogue between the developer's intent and the AI's suggestions. The 'vibe' is now a shared context between human and machine. My prediction is that the negative connotations of vibe coding will fade. It will simply be seen as the most efficient way to translate an idea into functional code, with the understanding that this initial burst of creativity must be followed by a structured process of testing, refinement, and hardening. The future isn't about eliminating the vibe; it's about building professional systems to harness it. For more of my thoughts on the future of tech and marketing, you can check out my blog or my journey in my portfolio.

FAQ

Is vibe coding the same as spaghetti code?

Not necessarily, but they are often related. Vibe coding can lead to spaghetti code if it's done without any discipline over a long period. However, an experienced developer can vibe code a clean, well-structured prototype. Spaghetti code is the result; vibe coding is one possible process that can create that result, especially when done by less experienced developers or without a plan for refactoring.

How can I put 'vibe coding' experience on my resume?

You wouldn't use the term 'vibe coding' on a resume. Instead, you would frame it in professional terms. For example: "Excelled in rapid prototyping and MVP development, delivering a functional product from concept to launch in under 3 months." Or "Demonstrated ability to quickly iterate on product features based on user feedback in a fast-paced startup environment." This highlights the positive outcomes (speed, iteration) without using the informal slang.

What programming languages are best for vibe coding?

High-level, dynamically-typed languages like Python, Ruby, and JavaScript are often favored for vibe coding. Their flexible syntax and rich ecosystems of libraries and frameworks (like Rails, Django, Node.js) allow developers to build functional applications very quickly without getting bogged down in boilerplate or strict type definitions. However, a developer can vibe code in any language they are deeply familiar with.

Can vibe coding be used in large companies?

Yes, but in controlled environments. Large companies often have 'innovation labs', 'R&D departments', or internal hackathons where the rules are relaxed to encourage creativity and speed. This is the corporate equivalent of the startup MVP stage. Vibe coding is perfect for these contexts, but the resulting projects are treated as prototypes that must go through the company's rigorous, standard development process before being released to customers.

How do I transition from vibe coding to more structured development?

Start by embracing the tools of structured development. Pick one thing to focus on. Start by writing tests for your new code. Then, learn to use a linter and fix the issues it flags. Participate actively in code reviews, both giving and receiving feedback. Read books on software architecture, like "Clean Code." It's a gradual process of building discipline and appreciating the long-term benefits of a more methodical approach. Learning structured approaches is a key theme in my book, Sell More With Webinars, as it applies to marketing systems too.

Is there a place for vibe coding in security-critical applications?

Almost certainly not in the production code. For security-critical applications (e.g., finance, healthcare), the development process must be rigorous, auditable, and methodical from the very beginning. Every line of code must be scrutinized. Vibe coding's emphasis on speed over correctness is fundamentally incompatible with the requirements of building secure, high-stakes software. The risk is simply too high.

FAQ