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InfoQ · September 19, 2026 · On the brief until October 3, 2026

Presentation: Complexity and Creativity in Software Engineering

Computer ScienceEngineering
THE AI ANGLE
Autonomously generating massive volumes of code and executing command-line operations faster than humans can review.

Phillip Mortimer argues that the massive volume of code generated by AI models makes modern software effectively 'write-only,' rendering traditional line-by-line human pull requests obsolete. Because humans cannot keep up with reading autonomous, high-volume code outputs, software engineering must shift toward treating code as disposable, relying on rigorous test suites to define behavior, and decoupling specification intent from implementation. For engineering faculty, this highlights a critical transition from teaching manual syntax drafting and code reviews toward system-level specification, testing, and behavioral verification.

Summary written by AI Business Lens with an AI model from the article at infoq.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Instructors must navigate the tension between training students to inspect and debug implementation code versus teaching them to rely entirely on automated test suites and behavioral metrics when reviewing AI-generated software.

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