Are you intrigued by the new “vibe coding” paradigm—where products emerge from natural-language prompts and AI-driven code generation? That’s undeniably exciting. But when turning prototypes into sustainable products, you need more than vibes. This workshop helps you transcend AI-led spontaneity and build structured, purposeful products that last.
What Is Vibe Coding (and Why It Matters)
The term vibe coding was coined by Andrej Karpathy in February 2025 to describe a coding style where developers hand over control to AI via natural-language prompts, don’t review the generated code, and operate almost entirely in an iterative, experimental mode—sometimes “forgetting that the code even exists.” It’s ideal for prototypes or weekend projects.
This style is catching on across tech communities, democratizing early-stage app creation—even for non-developers. While its speed and accessibility are powerful, risks include lack of code understanding, maintainability issues, and potential security vulnerabilities.
What You’ll Learn in This Workshop
1. From Vibes to Vision Understand vibe coding’s strengths and limitations—why experimentation is fun but not sufficient for launching a product.
2. Structured Product Thinking Define product vision, strategy, and user needs before generating a single line of code.
3. Hybrid AI Workflow Learn how to integrate vibe coding without risking code quality—review, test, and refine AI outputs responsibly.
4. Maintainability & Security Adopt practices for clean, secure, and maintainable code—even when it originates from AI.
5. Product Roadmapping Combine rapid prototyping with long-term planning to evolve your MVP into a sustainable product.
Who Should Attend
- Founders and entrepreneurs exploring AI-assisted development
- Developers and teams using—or curious about—vibe coding workflows
- Product leads eager to turn rapid experimentation into resilient products
- Anyone navigating the shift from AI-powered prototyping to production-grade builds
Why Attend
- You’ll learn to harness vibe coding intelligently, not be limited by it
- Gain frameworks that blend creative experimentation with engineering discipline
- Avoid common pitfalls—like unreviewed code, poor structure, and security gaps
- Walk away with a clear hybrid workflow: ideate fast, build intentionally, and scale sustainably
