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Measuring the actual impact of AI coding (Changelog & Friends #101)

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Navigating AI in Software Engineering

This chapter explores the integration of AI in enterprise software development, focusing on the demand for frameworks to measure the effectiveness of AI tools on developer productivity. It discusses the financial implications, the evolving role of developers, and introduces concepts like Javon's Paradox to illustrate the potential shifts in engineering job dynamics. The conversation emphasizes improving overall developer experience and addressing real bottlenecks in the software development lifecycle as AI tools become more prevalent.

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