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Most enterprise developers are held back by outdated development processes—until now. A new wave of AI-powered spec-driven development promises to transform how we build software at scale, but can it truly fit into the complex, multi-department world of industry? Vijay unpacks the groundbreaking tools and frameworks that are pushing AI beyond simple demos into real production environments. In this episode, you'll discover how spec-driven development has evolved over two decades and why traditional methods falter in modern enterprise contexts. Vijay dives into the challenges of complex requirements, stakeholder collaboration, and code consistency—pain points faced by every product leader. He shares firsthand insights into how AI agents, when guided by precise guardrails like GitHub’s spec kits or custom standards, can streamline planning, reduce hallucinations, and eliminate the chaos of unstructured vibe coding. We break down: The limitations of hype-driven AI demos in real-world, multi-team setups How to implement guardrails with constitution files, checklists, and structured prompts The pitfalls of uncontrolled vibe coding and strategies to keep AI aligned with enterprise standards Practical workflows integrating AI agents into backlog grooming, requirement clarification, and automated task generation Future possibilities of AI-enhanced planning that marries agility with enterprise rigor If you’re a product manager, CTO, or senior engineer tired of inconsistent builds and manual specifications, this is your guide to harnessing AI responsibly in production. Vijay’s experience as a principal engineer reveals how thoughtful integration of AI can elevate your development process without sacrificing control or quality. Stay ahead of the curve by understanding what it takes to embed AI into your enterprise’s development lifecycle — not just as a shiny demo, but as a reliable productivity tool. This episode isn’t about hype; it’s about real, actionable strategies to embed AI safely and effectively at scale. Perfect for tech leaders exploring next-gen workflows, developers wanting to reduce toil, and organizations eager to future-proof their software engineering. Get ready to see how AI can help you deliver faster, more consistent, and compliant software—without losing your mind in the process.