Engineering management after the cost of code collapsed
Summary
The article argues that the cost of producing plausible code has collapsed due to AI tools, prompting a reevaluation of long-held management rules. It emphasizes auditing assumptions, measuring business outcomes over code volume, and acknowledges that while some practices remain valid, others must adapt to AI-enabled development. It also discusses the challenges of training junior engineers and the evolving role of management in an AI-first software organization.