Build 10x products in minutes by chatting with AI - beyond just a prototype.
Topics
What is vibe coding, and how does it differ from traditional coding?
Is vibe coding suitable for professional software development?
How is vibe coding impacting the role of software engineers?
Building an app used to mean hours of coding, fixing bugs, and scrolling through forums. Now? You might need a good idea and a few sentences. That’s the promise of vibe programming. It's a new way of creating software that feels more like chatting than coding.
In this blog, we’ll discuss vibe programming, how it works, what makes it different, and why people discuss it. You’ll get real examples and honest thoughts on what’s good and what’s not.
The future of vibe programming isn’t just for developers. It’s for anyone with an idea and curiosity.
Let’s get into it.
The term vibe coding was coined and popularized by Andrej Karpathy in 2025 . Think of it as coding where you fully let go—describe what you want in everyday language, and let an AI model handle the rest. No more obsessing over every line of code and digging through code editors for hidden bugs.
Instead of writing code, you're curating, guiding, and tweaking what the AI-generated code gives you.
Vibe programming isn’t just another Silicon Valley trend. It’s a shift in how we build software, blurring the lines between developer and non-developer, prototyper and product creator. And it’s already changing the game—especially for throwaway weekend projects, hobby projects, and even production codebases.
The AI model—usually a large language model (LLM)—is at the heart of vibe coding, trained on millions of actual code examples. You feed it a prompt like:
"Build a simple to-do app with a dark mode and notifications."
Et voilà—it will generate code for the entire structure: the front end, the back end, and even basic error handling.
| Tool | Unique Feature |
|---|---|
| Cursor | In-editor chat that suggests edits, needs approval |
| GitHub Copilot | Predictive, real-time code completion |
| Replit Agent | Handles full-stack generation, even deployment |
| Windsurf | Automatically runs and updates your code |
Non-developers love it because they can finally create without learning a programming language. Experienced developers use it to accelerate writing code, explore new stacks, or speed up throwaway weekend projects. Even AI experts use it to test ideas quickly.
Imagine reducing an 8-week build into a weekend sprint. That’s exactly what some Y Combinator founders do—25% of the Winter 2025 batch used 95% AI-generated code. Learn more
Here’s how vibe coding is helping different users:
| User | How Vibe Coding Helps |
|---|---|
| Non-developer | Build functional apps without writing a single line |
| Hobbyist | Launch MVPs and run stuff fast |
| Software engineer | Save time on boilerplate, test new tech |
| Product teams | Prototype ideas without pulling in engineering teams |
• ✅ Speed: Replace weeks of manual coding with days or hours
• ✅ Accessibility: Bring non-developers into the software world
• ✅ Experimentation: Launch more hobby projects and test ideas
• ✅ Reduced context-switching: Stay in your flow while writing code
Despite the hype, vibe coding isn’t perfect. It raises serious questions about:
• Code quality: Will that AI-generated script hold up in production?
• Security: Can you trust AI-generated logic in sensitive applications?
• Control: Sometimes the AI coding assistant just refuses to produce code
• Dependence: Will we forget how to code?
These are trade-offs developers must consider—especially in professional settings.
The real disruption isn’t just that AI tools can generate code—they change how we think about coding entirely.
Instead of tracking diffs anymore, you're now iterating on vibes. Some argue it's less "engineering," and more "co-creating." You're no longer obsessing over every underlying code decision—you're focused on the outcome.
And that shift is scaring some folks. Traditional software engineers worry this could undermine coding experience, especially for junior roles.
But others argue it's just like the calculator for math—another evolution in ai assisted programming.
The next step? Vibe designing—drag-and-drop UIs, visual builders powered by AI models, maybe even voice commands. Imagine telling your device:
“Create a dashboard for my sales team with filters, charts, and export options.”
And getting a full working code implementation.
That’s coding where you fully trust the machine to write, run, and even refactor.
We may also see:
• Less reliance on open-source libraries
• More AI-generated snippets tailored to your unique app
• Tighter feedback loops: see how the code works instantly
Whether you’re a seasoned developer or just testing the waters, here’s how to explore vibe coding right now:
Try tools like Cursor, Replit, or GitHub Copilot
Start with a small throwaway project
Use natural language to describe functionality
Tweak, iterate, refine. Don’t expect perfect working code on the first try
Treat it like a typing assistant, not a replacement for logic
Use this to get better results when working with AI coding tools. The goal is to write in everyday language but be clear about functionality, constraints, and style.
| What to Include | Example |
|---|---|
| App Purpose | "Create a task manager for personal use." |
| Features | "Add deadlines, tags, and priority levels." |
| Tech Stack (optional) | "Use React for frontend, Express for backend." |
| Design Style | "Minimalist UI, light and dark modes." |
| Performance/UX Notes | "Should load in under 2 seconds and support mobile." |
• ✅ Break down features into smaller prompts
• ✅ Use comments like // TODO to guide the AI in context
• ✅ Mix prompts with existing code to improve accuracy
• ✅ If the code doesn't work, rephrase instead of repeating
• ✅ Start small—scale your project as the vibe feels right
The future of vibe programming isn’t about eliminating coding—it’s about redefining who gets to write software, how fast they can create, and what tools they use. Whether you’re building an app, automating a workflow, or experimenting with a single functionality line, vibe coding invites everyone to join the process.
It’s fast, fun, and deeply flawed—but that’s exactly how Silicon Valley likes it. The challenge ahead is ensuring that this new wave of AI-assisted development supports creativity and reliability. We’re not just shipping code—we’re shifting culture.
