I’ve been experimenting with using Latenode’s AI Copilot to generate Puppeteer automation from plain descriptions, and it’s actually pretty solid for getting something working quickly. But I hit a wall recently when one of the sites I was automating completely overhauled their DOM structure. The entire workflow just fell apart.
I read through some docs about how the AI Copilot is supposed to create resilient automations, but I’m wondering what actually makes them more resilient than hand-coded scripts. Is it just smarter selector strategies? Or does the platform do something with the generated code to make it adapt better when things change?
The old way of maintaining custom Puppeteer scripts meant rewriting selectors constantly. Having to touch code every time a site tweaks their layout gets old fast. So I’m curious—has anyone actually gotten these AI-generated workflows to stick around without needing constant rewrites? What’s the actual difference in how they handle DOM changes compared to scripts you’d write yourself?