Vibe Programming: Code at AI Speed

By Elke Porter | WBN Ai | June 11, 2025
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Maya opened her laptop and stared at the blank screen. The client wanted a complete e-commerce dashboard—product listings, user authentication, payment processing, analytics. Three months, they'd said. But Maya had a different timeline in mind.

She pulled up her AI coding assistant and took a deep breath. No detailed specifications. No architectural diagrams. No careful planning of database schemas or API endpoints. Just pure instinct and trust—what Andrej Karpathy, OpenAI's former director of AI and Tesla's former head of AI, had coined "vibe coding." If someone who'd helped shape both ChatGPT and Autopilot believed in letting AI take the wheel, Maya figured she was in good company.

"Build me a modern e-commerce dashboard," she typed. "Clean design, fast checkout, real-time analytics."

The AI began generating code—components, styling, backend logic—all flowing together in real-time. Maya watched entire file structures materialize, complete with routing, state management, and responsive layouts. Her fingers barely touched the keyboard except to guide the general direction.

"Add a dark mode toggle," she said, watching the AI instantly weave new CSS variables and theme switching logic throughout the entire codebase. "Make the product cards more engaging."

This was vibe coding at its purest—surrendering control to the AI, trusting the flow, resisting the urge to micromanage every function and variable name. Her old self would have spent days setting up build tools, configuring databases, debating framework choices. Now she rode the current of AI-generated possibilities.

Within hours, she had a fully functional prototype. Not perfect—there were bugs to smooth out, edge cases to handle—but alive and breathing in ways that would have taken weeks using traditional methods.

Her colleague Sam peered over. "Did you just... think that into existence?"

Maya grinned, making a mental note to add proper error handling later. "It's called vibe coding. You follow your instincts, let the AI fill in the blanks, and trust the process."

"Isn't that risky? What about testing? Documentation?"

"Those come after," Maya said, already sketching out the next feature in her mind. "Karpathy's whole point is that sometimes you need to trust the flow first, then make it bulletproof. The guy revolutionized AI at two of the world's biggest tech companies—I think he knows something about balancing innovation with reliability."

The dashboard pulsed with potential on her screen—rough around the edges but undeniably powerful. In three weeks, it would ship. The future of development wasn't about fighting the machine; it was about dancing with it.

Maya cracked her knuckles and dove back in, ready to vibe her way through another impossibly fast iteration.

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