From Passenger to Pilot: How I Reclaimed My Engineering Agency in the Age of AI
We’ve all seen the posts: "AI is replacing the need for deep engineering," or "I feel like I’m not solving problems anymore." For a while, I felt the same way. I was stuck in a loop of generating code, debugging hallucinations, and feeling increasingly disconnected from the craft I love. The problem wasn't the tool: it was my seat in the cockpit. I had moved from the pilot’s seat to the passenger’s side. To fix this, I redesigned my workflow to ensure that I remain the architect, while the AI stays the assistant. I’ve broken my process into three distinct phases: Assessment, Planning, and Execution. Here is how it works. Phase 1: Guided Assessment The goal here isn't to have the AI "do the work," but to have it index the world for you. When facing a massive, unfamiliar codebase, I use agents as advanced scouts. The Workflow: I leverage bots to parse large repositories and highlight specific modules or logic paths related to my goal. The Human Ed...