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Explore how machine learning can revolutionize software development project management through automated delivery time prediction and enhanced code reliability in this conference talk. Learn about Tim Markin's innovative AI pipeline that combines feature extraction, Retrieval-Augmented Generation (RAG), and Large Language Model reasoning to provide accurate project timeline estimates. Discover the practical implementation through a comprehensive demo that analyzes repository complexity, differentiating between backend and frontend development challenges. Examine how the system provides instant timeline estimates for product managers during the discovery phase, eliminating traditional estimation guesswork. Understand the dual functionality of AI-powered code review capabilities that automatically assess commits and pull requests for potential issues. Witness a detailed analysis of security vulnerabilities through "bad code" examples and see real-world comparisons between AI-generated estimates and actual delivery times. Gain insights into the complete technology stack used to build this solution and access the GitHub repository for hands-on experimentation with the demonstrated tools and methodologies.
