Every engineer using a coding agent is becoming a supervisor of generated work, even if no one reports to them. When agents absorb routine fixes, developers get fewer repetitions that build debugging instincts, system knowledge, and the ability to recognize plausible wrong answers. They remain responsible for difficult exceptions even as the practice that prepared them grows quieter.

This is an old automation problem in a new setting: people inherit the difficult exceptions while getting less practice with the routine work that once prepared them. This session brings that research into everyday software development and makes the practice visible. We predict failures before generation, debug from symptoms with the agent off, and compare judgments with a team so system design, specification, and error recognition stay active. Whether you're early-career or newly responsible for agent output, you'll leave with a four-week practice plan that lets you use the tools without letting your judgment go quiet.