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Explore a comprehensive conference talk that demonstrates how to redesign the entire software development workflow around AI agents rather than traditional autocomplete tools. Learn to move beyond simple prompting to create an AI-native development process that transforms how you approach coding from initial intent to final review. Discover practical tools and methodologies for specifying architectural intent to align AI systems with your goals, breaking down complex changes into manageable tasks through improved planning strategies, and implementing asynchronous and parallel agent execution to maximize productivity gains. Master techniques for scaling code reviews while maintaining quality through test-based guardrails, and understand how to build effective learning feedback loops through strategic knowledge management. Gain insights into upgrading both your development architecture and mindset to fully leverage AI agents as collaborative partners in the modern development cycle, moving far beyond the limitations of single-window AI assistance tools.
