Is Software Engineering Over in the Age of Enterprise AI?

This article argues that Enterprise AI does not signal the end of software engineering but rather extends its importance. It reframes AI integration as an application development problem requiring engineering discipline, not just data science. Key voices like Rod Johnson and John Davies stress the need for control, consistency, and testability in AI-driven systems. The piece highlights challenges like non-deterministic behavior and cognitive debt, asserting that core engineering skills—defining boundaries, managing dependencies, ensuring observability—become more critical. It serves as a tech-focused discussion on AI's impact on software engineering practices and career relevance.