When AI agents write the code, engineers must know where the monsters live
Here Be Monsters: What Do You Still Need to Know When Agents Do the Work?
A CI failure traced to SonarQube flagging cyclomatic complexity in an App.tsx file that Codex had generated as 30 lines of single-line components. The code was correct but unreadable. This incident frames the author's argument: as agents produce code faster than anyone can absorb, ownership shifts from having written the system by hand to knowing just enough to spot trouble and dive deep when needed. The piece explores how to train the next generation of engineers through fundamentals, breadth, and just-in-time depth.
The real question is at what level of granularity? ... You need a high-level, far-away map of the entire system, and you need to know just enough to know where you need to dive in, where the monsters live, and you need to be able to jump into any unknown codebase, figure out what's happening, push a hotfix, and describe what happened clearly in your incident report.