Vibe Coding

I talk with Alessio Carrà about the rapidly closing window for entrepreneurs in the AI coding space. He shares how someone turned a simple domain idea into $2K monthly revenue in just days, and explains why the "easy wins" won't last.

Alessio walks me through Context Engineering—his solution to the chaos that happens when vibe coding projects get bigger and AI agents start breaking things. We discuss the weird emotional shift of watching AI write your code, Amazon's new Kiro IDE, and whether we're heading toward a future of local AI models running on laptops.

Key Topics

• The closing opportunity window - Why entrepreneurs need to move fast before all the simple ideas get taken
• Context Engineering explained - Alessio's MCP that brings structure to vibe coding through PRDs, tech blueprints, and task lists
• Scaling challenges - How AI coding tools break down as codebases grow larger
• Comparison with existing tools - How Context Engineering differs from Taskmaster and Amazon's new Kiro
• The emotional side of AI coding - Missing the satisfaction of solving hard problems vs. gaining focus on outcomes
• Future of AI development - The push toward cheaper, local, open-source models vs. cloud-based solutions

Takeaways

• Easy business ideas are disappearing fast—the window for low-hanging fruit is shrinking
• Unstructured vibe coding hits a wall on bigger projects; you need process and documentation
• Context Engineering brings traditional software development practices to AI coding
• The satisfaction of coding is shifting from solving technical puzzles to achieving business outcomes
• Local AI models could eventually eliminate per-token costs and internet dependency
• AI tools are democratizing software creation, but require new approaches to stay effective

Links

In this inaugural episode of Vibe Coding, host Cosmo Scharf speaks with Ash Gobindram, CEO of Kinemeric, about using AI to create "believable humans" in XR training simulations and how vibe coding is transforming his client workflow.

Ash reveals how he uses Lovable to prototype interactive experiences for clients in under an hour—from a lending platform interface for a private equity firm to step-by-step watch repair instructions for luxury brand Richemont. He shares the practical reality of vibe coding: when to start fresh versus iterating, why some projects work better than others, and how he built a full travel agency website in just two hours.

The conversation explores the striking parallels between today's vibe coding revolution and the early mobile app era that Ash lived through starting in 2009. From Palm Pilots to iPhones to AI-generated code, we discuss how computing is becoming more democratized and personalized—and what that means for the future of software creation.

Plus: Why "believable" matters more than being photorealistic in XR, the philosophical concerns about AI replacing human relationships, and Ash's vision for a decentralized computing future where we interact with technology across multiple form factors.

Key Topics:

• Using Lovable for rapid client prototyping (real examples shown)
• Creating "believable humans" with LLMs in VR training
• Mobile revolution parallels to vibe coding adoption
• When to start fresh vs. iterate in vibe coding projects
• The democratization of software creation
• Future of personalized, on-demand app creation

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