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Pawel Jozefiak's avatar

This is a great breakdown, Juan. I've been doing similar evaluations but from a different angle - less about visual cloning and more about how these tools change the actual experience of building things.

What strikes me about your findings is how the best tools (Lovable, Alloy) succeed by getting out of your way. They let you think in terms of what you want, not how to implement it. That's the same pattern I've noticed across the whole spectrum of AI-assisted development - the tools that win aren't necessarily the most powerful, they're the ones that preserve the creative momentum.

I've been building an AI agent called Wiz using Claude Code, and the thing that keeps surprising me is how much it feels like the early days of programming again - when you could hold an entire project in your head and just... make things. Before everything got buried under tooling complexity and configuration hell. Your YAML prompt approach reminds me of that - finding a systematic way to cut through the noise.

The A/B testing workflow you're optimizing for is interesting because it's exactly the kind of repetitive-but-slightly-different work where AI tools shine. Clone, tweak, test, iterate. Each step is small but the cumulative friction used to be enormous.

I wrote about this broader shift in how building feels different now - curious if your experience matches: https://thoughts.jock.pl/p/cursor-vs-vibe-coding-tools-2025

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