Developers are hitting a new bottleneck: reviewing the flood of AI‑generated code. Even after using plan‑mode, breaking tasks into phases, and shipping tiny commits, many report cognitive overload when faced with a diff they never crafted themselves. The author notes that a single coding‑agent run can produce a full PR in minutes, yet the mental cost remains high and verify each line.

In the pre‑AI era the same engineer would explore the codebase, prototype several solutions, and only then commit, often spending days to consolidate context. That process yielded higher confidence and easier explanations to teammates. With AI, the author admits most large tasks still take days, and he frequently discards the generated changes, starting from scratch to regain control before proceeding.

The writer flags three rejection patterns: diffs larger than the problem, premature abstractions, and code that passes tests but harms system reasoning. He argues that passing CI green does not guarantee a sound design and urges mandatory human review alongside any coding agents output. Ultimately, AI assists but cannot replace expert judgment in sustainable software development for long‑term maintainability.