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Explore the real-world impact of AI coding tools on enterprise development teams through a comprehensive 32-minute conference talk from Tech Lead Conf 2025. Discover the results of a 3-month controlled experiment conducted at Modus Create, where two development squads built identical applications—one using AI coding agents like GitHub Copilot and Cursor, and another working without AI assistance. Learn about the surprising productivity metrics, code quality assessments, and cultural implications that emerged from this enterprise-scale study. Examine the nuanced challenges and benefits of integrating AI tools into software development workflows, including insights on human oversight requirements, contextual feeding strategies, and effective task management approaches. Gain practical guidance on scaling AI-powered development across engineering organizations, with evidence-based recommendations that cut through industry hype. Understand how AI tools affect developer learning curves, code clarity, and overall team dynamics in professional software delivery environments. Access detailed analysis of productivity boosts, quality control measures, and workflow optimization strategies that can inform your organization's AI adoption decisions.
