AI-Assisted Development Requires Engineering Oversight

AI-assisted development changes where engineering effort goes, but it does not remove the need for technical ownership. The article explains how AI can accelerate unit testing, documentation, prototypes, and internal tooling while shifting developer work toward architecture, review, debugging, validation, and risk control. It also highlights why production systems and legacy codebases need stricter oversight because AI-generated code can introduce security, maintainability, and integration issues. Leaders should treat AI coding tools as productivity infrastructure that depends on strong engineering practices.