We let AI write our code for a week. Here is what actually happened.
Everyone is talking about vibe coding right now. Let AI handle the code while you focus on the vision. It sounds revolutionary. So we tried it.
For one week, our team at Murror used AI coding tools for everything. New features, bug fixes, refactoring. We wanted to see if it could genuinely speed up our development cycle or if the hype was getting ahead of reality.
Here is what we found:
Day 1-2: Euphoria. We were generating components in minutes that used to take hours. The AI understood our patterns, suggested sensible solutions, and we felt like we had unlocked a cheat code.
Day 3-4: The cracks appeared. The AI-generated code worked, but it did not think about our architecture. It solved individual problems without understanding the bigger picture. We started finding subtle bugs that came from the AI confidently writing code that technically ran but missed important edge cases.
Day 5-7: The real lesson emerged. AI is extraordinary at generating code. But it is terrible at understanding why your product works the way it does. It does not know your users. It does not feel the friction. It does not understand why you chose one approach over another six months ago.
The biggest takeaway was not that AI coding tools are good or bad. It is that they change what matters about being a developer. The value is no longer in writing code. It is in knowing what code to write and, more importantly, what code not to write.
For a product like Murror where every interaction is deeply personal, the judgment calls matter more than the output speed. AI helped us move faster on the mechanical parts but every piece of logic that touched the user experience still needed a human who understood what we were building and why.
My advice for teams experimenting with AI coding: use it like a very fast junior developer. It can handle the routine work brilliantly. But the moment you need someone to make a judgment call about what is right for your users, you need a human in the loop.
Has anyone else tried going all-in on AI coding? What surprised you most about the experience?



Replies
The dream future is when coding agents can handle everything start-to-finish, but we're not there yet. Even using the highest-end models, it's still best to give it tasks in small, focused-scope chunks. AI can certainly handle larger context tasks than it could a year ago, with much less errors, but it's still neccesary to feed it tasks at a digestible rate.