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Does AI Make Developers More Productive? Data from a 100k-Engineer Stanford Study

MLOps World: Machine Learning in Production via YouTube

Overview

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Explore groundbreaking research on AI's impact on developer productivity through a comprehensive conference talk that presents findings from Stanford University's massive 100,000-engineer study. Discover what real-world data reveals about whether AI truly makes developers more productive or simply busier, examining how AI agents and coding assistants affect software engineering efficiency at scale. Learn when and how AI agents actually accelerate developer output versus where human expertise remains most critical. Watch a live demonstration of building a tool-powered AI agent from scratch using the Agent Development Kit (ADK), including practical techniques for orchestrating models, tools, and APIs into functioning systems that solve real-world engineering tasks. Gain insights into key patterns for implementing AI agents in production environments and understand the future implications of AI-assisted development for teams operating at scale, combining rigorous academic research with hands-on engineering demonstrations to demystify the true value of AI in software development workflows.

Syllabus

AI Make Developers More Productive? Data from a 100k Engineer Stanford Study | Yegor Denisov

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MLOps World: Machine Learning in Production

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