Daniel Dietrich 

Cursor just shipped 1,000 commits per hour and most people scrolled past the number. Break that down. Hundreds of agents running simultaneously on a single codebase. Each agent averaging a meaningful code change every 12-20 minutes, sustained for a full week. That’s the equivalent output of a 100+ person engineering org running 24/7 with zero standups, zero Slack threads, zero PTO. They built a web browser from scratch with these agents. 3M+ lines of code. A Windows 7 emulator. An Excel clone. They migrated their own production codebase from Solid to React in three weeks, +266K/-193K edits, already passing CI. The coordination architecture tells you where software management is heading. Self-organizing agents failed. Peer-to-peer status sharing created deadlocks. What actually worked was a strict hierarchy of planners, workers, and judges. AI agents need the same management structure as humans, just running at 100x the clock speed. Cursor has $1B in ARR and a $29B valuation. OpenAI, Anthropic, and Google are all building competing coding agents. GitHub Copilot is generating $300M+ annually. The total AI coding market is projected at $30B by 2032, but a single Cursor experiment just produced more code in one week than most startups write in a year. The 2032 projections are going to look quaint. When the cost of producing code approaches zero, the bottleneck shifts entirely to taste, architecture decisions, and knowing what to build. Every PM reading this should understand: the skill that matters just changed.

“Be careful what you wish for, not because you’ll get it but because you’ll be turned into the thing that can get it. It’s not a process where you just ask for something and it magically appears, it’s a process that breaks you down and rebuilds you into the right tool for the job.” ~Jed McKenna