Why small changes in AI-generated apps start feeling dangerous over time
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There is a point in every vibe coded or AI-assisted project where you stop hitting generate freely and start double checking every single dependency.
Early on, you just accept suggestions and move fast. Later, when an untracked change breaks a core flow you realize you don't fully understand the architecture you're shipping. I've had to slow down and force myself to read every diff before committing.
For anyone scaling an app built mostly with LLMs what's your actual setup for testing changes before pushing to production?
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