The before
Three years ago, I was the kind of person who could design a beautiful interface in Figma and stop there. I'd hand it to a developer, wait two weeks, get something that looked 70% like the design, and spend another two weeks asking for revisions. The gap between my vision and what shipped was always frustrating.
What changed
Cursor + Claude. Not just "AI autocomplete", actual conversation with the codebase. I describe what I want in plain language. Claude reads the existing code, understands the conventions, suggests refactors that make sense in context. It's not magic. It's like having a senior engineer pair-programming with you 24/7.
A concrete example: GreenEcoGenius
When I started GreenEcoGenius, I knew Next.js conceptually but had never shipped a production SaaS with auth, payments, blockchain, and CSRD reporting integrated. Six weeks later, the platform was live with all of that. Not because I'm a 10x engineer. Because Claude helped me think through the architecture, write Stripe webhook handlers, integrate Polygon Mainnet for traceability certificates, and structure the Supabase Row-Level Security policies.
What AI-augmented coding is NOT
It's not "tell the AI to build my app." It's not vibe-coding spaghetti and hoping it works. The hard part is still YOU, knowing what to build, why, for whom, and being able to evaluate what the AI produces. If you don't know what good code looks like, AI will gladly write you bad code.
The new bottleneck
The bottleneck moved. It used to be "I have an idea but I can't code it." Now it's "I have ten ideas and I have to choose which one to build." That's a much better problem to have.
My current stack
- Cursor for the IDE (Anthropic-flavored Claude as the embedded AI)
- Next.js 15 (App Router) for the frontend
- Supabase for auth, database, storage, realtime
- Stripe for payments and subscriptions
- Polygon for blockchain traceability when relevant
- Vercel for deployment
- GitHub for version control
The takeaway
If you're a founder, designer, or domain expert who's been waiting for "the right moment to learn to code", that moment is now. Not because coding is suddenly easy. Because the ratio of effort to output has shifted permanently in your favor.
Want to talk about how to integrate AI into your build process? Let's build together.
