I Built an AI That Fixes My Bugs Automatically
I spent months stuck in the loop every vibe coder knows: AI builds the app, then you spend all your time fixing the mess it leaves behind. In this video, I show the system I built to solve that problem. The workflow is simple: a bug report comes in, AI reads it, finds the right files, checks whether the bug is real, writes a fix, reviews its own work, and then opens a pull request for approval. The goal is to save time, reduce wasted effort, and keep builders focused on shipping new features instead of drowning in support work. What you’ll learn: Why vibe coders get stuck in support mode How an AI bug-fix pipeline works Why it saves hours every week How the system checks for real bugs before working Why it reviews its own fixes multiple times What happens when the AI cannot solve the issue If you are building with AI, this is the kind of workflow that can give you your afternoons back. Chapters 0:00 The vibe coder bug problem 0:20 Why AI-built apps create a support trap 1:05 The AI bug-fix system 1:40 How bug reports enter the workflow 2:20 How the AI finds the right files 3:00 How the fix gets reviewed 3:45 Regression protection and human approval 4:25 Why this saves hours every week 5:00 Final takeaway for vibe coders #vibecoding #aitools #softwaredevelopment #nocode #buildwithai #productivity