Managing the Hidden Overhead of AI Software Engineering

Description and use

<p>There is a scene that is becoming more and more common in software development right now.</p> <p>You have one AI coding agent refactoring something.</p> <p>Another one is writing tests.</p> <p>A third is handling some annoying migration you did not want to touch yourself.</p> <p>You are bouncing between terminals, checking progress, answering questions, approving changes, and generally supervising a tiny army of extremely enthusiastic robot developers.</p> <p>And then the thought hits you:</p> <p><strong>I could open another terminal.</strong></p> <p>I have absolutely done this.</p> <p>The

Problem

<p>There is a scene that is becoming more and more common in software development right now.</p> <p>You have one AI coding agent refactoring something.</p> <p>Another one is writing tests.</p> <p>A third is handling some annoying migration you did not want to touch yourself.</p> <p>You are bouncing between terminals, checking progress, answering questions, approving changes, and generally supervising a tiny army of extremely enthusiastic robot developers.</p> <p>And then the thought hits you:</p> <p><strong>I could open another terminal.</strong></p> <p>I have absolutely done this.</p> <p>The

Outcome

<p>There is a scene that is becoming more and more common in software development right now.</p> <p>You have one AI coding agent refactoring something.</p> <p>Another one is writing tests.</p> <p>A third is handling some annoying migration you did not want to touch yourself.</p> <p>You are bouncing between terminals, checking progress, answering questions, approving changes, and generally supervising a tiny army of extremely enthusiastic robot developers.</p> <p>And then the thought hits you:</p> <p><strong>I could open another terminal.</strong></p> <p>I have absolutely done this.</p> <p>The

Evidence

Managing the Hidden Overhead of AI Software Engineering

Source