LLM Era

Organizational distance, layers between intent and execution, drove specialization for decades. AI agents collapse that distance, letting one engineer direct many without translation loss. The human role shifts from doer to arbiter: steering, judging, staying close to the craft.

LLMs broke the code production bottleneck, and now review is the constraint. The fix: small atomic PRs, LLM-generated summaries that compress comprehension time, and engineer-owned calibration. Teams that adapt stay ahead. Teams that wait drown in their own queues.

You are no longer the line cook. You are the executive chef at the pass, directing agents who compile, test, and retry at high speed. You may not type a single line of code, but you remain accountable for all of it. Your value shifts from labor to leadership.