AI Coding Agents Speed Up Output but May Deepen Developer Comprehension Gaps

A software developer writing on DEV Community argues that AI coding agents, while accelerating code production, are quietly eroding developers' understanding of their own codebases. He distinguishes 'comprehension debt' from technical debt, defining it as the growing gap between what the code does and what the team actually understands about it. Traditional coding workflows forced developers to learn systems through friction, whereas the agentic loop of request-generate-skim-accept bypasses that learning process. The author warns that passing tests are evidence of correctness, not understanding, and that judgment — not artifact output — is now the scarce engineering resource. To counter this, he proposes requiring AI agents to explain system context, invariants, and assumptions in plain language before writing a single line of code.