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Thu, December 10AI-Native Software Development
AI is reshaping software engineering, creating uncertainty about how engineering roles will change as increasingly capable systems take on work that was once performed by people. While no one can predict the future with certainty, history offers examples of how technical innovation has transformed work in other industries and provides useful ways to think about the current transition.
This session explores what economics can teach us about the future of software engineering and agent-assisted development. We will examine how similar periods of technological change have affected work, productivity, and workforce composition, and discuss which lessons are applicable to software engineering today.
The talk also looks at how engineering organizations can use insights from their own codebases to better understand the impact of AI on engineering work, rather than relying on assumptions or conclusions drawn from broader industry discussions. Drawing on experience with Google's engineering organization, the session explores how a large software engineering workforce can be structured and guided as development practices continue to evolve.
No background in economics is required. The session focuses on practical concepts that help engineering teams interpret ongoing changes and make informed decisions as AI becomes part of everyday software development.
What You Will Learn:
Who Should Attend:
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Daniel serves as a Principal Engineer for Google's Scaled Software Enablement organization, which tackles the critical problem of how to effectively build and scale our developer systems for humans and agents, and serves as the global co-chair of Google's SWE Steering Committee. At Google prior to this Daniel served as a principal with the office of Cross Google Engineering, tackling cross-company technical strategy, and has led cross-functional teams across the software stack including Google’s geographic data infrastructure, Google My Business Locations, Google Photos, and Google Tasks among others. His experience traverses the technical spectrum and includes infrastructure, machine learning, mobile and web.
