How I Debug My Productivity (Like I Debug My Code)

Last month I had one of those weeks where I worked 50+ hours but shipped almost nothing. Sound familiar? I sat down on Sunday and realized: if this were a bug in my code, I'd already have fixed it. I'd add logging, trace the execution path, find the bottleneck, and patch it. So why wasn't I doing that with my time? That's when I started debugging my productivity the same way I debug software. Step 1: Add Logging Before you can fix anything, you need data. I started tracking what I actually did every 30 minutes for a week. Not what I planned to do — what I actually did. The results were brutal. On a "productive" day, I was spending roughly 3 hours on actual code, 2 hours on context-switching between tasks, and 3+ hours on what I can only describe as "productive procrastination" — reading docs I didn't need, refactoring code that worked fine, checking feeds "for inspiration." If my app had a function burning 40% of CPU on no-ops, I'd notice immediately. But my own brain? Somehow that got