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InfoQ · September 14, 2026

Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

Computer ScienceHigher EducationHuman Resources
THE AI ANGLE
Automating routine feature coding while failing at overarching software architecture

As AI agents increasingly handle routine coding tasks traditionally used to train junior developers, Scott Hanselman argues the software industry must adopt a healthcare-style preceptorship model that evaluates mentors on cultivating new talent rather than merely shipping code. Because AI tools excel at isolated feature generation but struggle with holistic software architecture, educators and employers face a growing risk of collapsing the junior engineering pipeline through short-term hyper-optimization. This shift underscores the need for curricula and organizational structures to emphasize architectural judgment, oversight, and intentional mentorship over routine code production.

THE TEACHING ANGLE
Instructors must examine how to teach high-level software architecture and design judgment when AI allows students to skip the foundational, repetitive coding exercises that historically built those skills.

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