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

• Context Engineering
• Follow Alessio
• Namesnag example

Connect

• Discover the latest vibe coding news and resources
• Subscribe to our newsletter
• Join our Discord
• Follow on X

Chapters
00:00 The Urgency of Action in Business
02:58 Navigating the Challenges of Vibe Coding
06:04 Introducing Context Engineering
08:54 The Process of Context Engineering
11:58 The Impact of Structure on Vibe Coding
14:45 Comparing Context Engineering with Other Tools
18:00 The Emotional Experience of Building with AI
28:08 Navigating the Workflow of Coding with AI
31:31 The Shift in Coding Satisfaction
34:16 Focusing on Outcomes Over Outputs
37:04 The Impact of AI on Cognitive Skills
40:16 The Future of Coding Tools
46:10 Local vs. Cloud-Based AI Models