In this podcast Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession. Under this model, the industry needs preceptors whose sole job is to train new engineers, and these preceptors would be evaluated on how well they train people rather than how much code they ship. The use of AI agents requires experienced engineers because while they are capable of generating software features, they perform poorly at software architecture because they often miss the larger context. In addition, engineers must maintain oversight of artificial intelligence tools by acting as reviewers and coordinators to ensure that human judgment remains central to the development process.
The conversation then broadened to discuss the environment in which agentic AI should be used. When businesses prioritize short term, hyper-optimization, they neglect the longer term investments in human capital and mentorship which will make it impossible to cultivate future senior talent. Beyond that, Hanselman addressed the sociological impacts of modern development, observing that the intersection of remote work, social media, and artificial intelligence severely isolates developers. To counter this isolation and ensure healthy growth, intentional human connection and in-person interactions are vital for the next generation of users and developers of technology.
Read a transcript of this interview: https://bit.ly/4ydBK0H
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