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Key highlights: -First AI system to reliably generate pre-compiled and pre-tested code -Reduces development time by 80-95% on enterprise projects -Introduction of ARC (Agent Ready Components) - the first UI component library designed specifically for AI agents -How Blitzy is reshaping the entire Software Development Life Cycle (SDLC) 00:00 - Introduction: The Code Compilation Breakthrough One of the hardest problem in AI code generation has been solved First in the industry to achieve reliable code compilation 00:30 - The Current AI Coding Problem 50% failure rate with traditional AI coding tools The frustrating back-and-forth cycle Multiple prompts needed just to get working code Breaking downstream dependencies 02:00 - Blitzie's Solution: Spec-Driven Development Architectural bet on enterprise-grade practices Writing specs before code (not after) Eliminating documentation debt Test-driven development integration 04:00 - How Pre-Compilation Works Ingesting codebases (1M to 100M lines) Multiple AI models working together Context-aware agent system Automatic bug fixing before delivery 06:30 - Real Results: 80% Work Reduction Enterprise velocity gains From compile-time errors to production-ready code Median case: 80% of work automated 08:00 - Game-Changing Performance Metrics 6-8 month project reduced to 4 weeks (previously) NOW: 6 months to just 2-3 days Only 20% increase in processing time for massive gains 10:30 - The Vision: Eliminating Developer Frustration From months-long projects to days Repurposing developers to more challenging problems System-level thinking vs. model-only approaches 12:00 - What's Next: Runtime Validation Setting up terminals automatically Screenshot-based pixel-perfect validation Figma-to-code alignment Enterprise transformation potential 14:00 - ARC: Agent Ready Components UI consistency challenges Design systems for AI agents Built by world-class designers and developers React-based, scalable, responsive 16:30 - How ARC Works Figma integration Component interpolation Less code, more reliability Pre-built solutions for complex problems (date pickers, accessibility) 19:00 - The First AI-Optimized Component Library Documented by AI for AI Storyboard and MCP integration Efficient component selection Enterprise customization capabilities 21:00 - Solving the Hard UI Problem Beyond simple Figma-to-code conversion Design system integration Multi-platform responsiveness Theme support out of the box 22:30 - Upcoming Features Faster indexing and branch copying Transparency into Blitzy's process Enterprise integrations (GitHub, GitLab, Azure DevOps) 24:00 - Transforming the SDLC From ticket to code automatically Batch processing of Jira tickets Sprint leader best practices AI across the entire development lifecycle 26:30 - Conclusion: The Future of Development Moving beyond AI-assisted to AI-driven development Leveraging AI across the entire SDLC The new development paradigm