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What is Spec Driven Development (SDD)? 🤖📄 In this video, we break down Spec Driven Development (SDD) — a modern software engineering approach that treats specifications as the single source of truth. As AI coding assistants become more powerful, they also demand clear, structured, and precise instructions. That’s where SDD shines. Instead of jumping straight into code, SDD focuses on creating machine-readable, version-controlled specifications that guide both developers and AI agents. 💡 What you’ll learn in this video: What Spec-Driven Development (SDD) actually is Why traditional documentation is no longer enough How SDD works as a living, executable spec The 4-phase workflow: Intent → Specification → Plan → Implementation How SDD prevents ambiguity, scope creep, and misalignment Key differences between SDD, Agile, and Test-Driven Development (TDD) Unlike typical docs, SDD specs are composable, precise, and actionable, ensuring that what gets built truly matches what was intended. It forces teams to deeply understand a feature before writing a single line of code. 🚀 Whether you're working with AI tools or building complex systems, adopting SDD can help your team stay aligned, efficient, and focused on real requirements. Spec Driven Development, SDD, AI coding, software engineering, development workflow, system design, AI programming, Agile vs SDD, TDD vs SDD, coding best practices My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO

What is Vibe Engineering ?The Future of AI Driven Software Development In today’s AI-driven world, terms like “vibe coding” are trending—but is that enough for building real, production-grade software? In this video, we break down Vibe Engineering—a more structured, accountable, and professional approach to building software with AI. 🚀 While vibe coding is about quickly generating code using prompts and intuition, vibe engineering goes deeper. It demands: Strong technical ownership Architectural thinking Accountability for quality and scalability As AI coding agents become more powerful, the role of engineers is not diminishing—it’s evolving. 💡 You’ll learn: The key differences between vibe coding and vibe engineering Why senior engineering expertise is more important than ever How AI actually amplifies best practices like: Automated testing Code reviews Documentation Why managing AI assistants requires systems thinking and technical depth 🔍 The reality? AI tools don’t replace skilled developers—they multiply their impact. The better your fundamentals, the more powerful these tools become. Whether you're a developer, tech lead, or aspiring TPM, this video will help you understand how to stay relevant—and excel—in the age of AI-assisted engineering. 👍 If you found this valuable, don’t forget to like, share, and subscribe for more content on AI, Engineering, and Technical Program Management. #VibeEngineering #AICoding #SoftwareEngineering #TechLeadership #AIinDevelopment #CodingWithAI #TPM #EngineeringBestPractices My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO

Karpathy Inspired Claude Code Guidelines || Use These AI Coding Skills https://github.com/forrestchang/andrej-karpathy-skills Are your AI-generated code outputs over-engineered, bloated, or making silent assumptions? You’re not alone. Inspired by Andrej Karpathy’s observations on LLM behavior, this video breaks down a powerful approach to make AI-assisted coding more precise, minimal, and reliable. 💡 We explore Claude Code Guidelines built around 4 core principles: 🧠 Think Before You Code – No more impulsive generation ✂️ Simplicity First – Avoid unnecessary abstractions 🎯 Surgical Changes Only – Modify exactly what’s needed ✅ Goal-Driven Execution – Focus on verifiable outcomes ⚙️ Learn how to implement these guidelines: As a project-level configuration Or as a global plugin for consistent AI behavior 🔥 The result? A professional workflow where AI becomes a careful collaborator, not an error-prone coder — helping you reduce technical debt, avoid over-engineering, and build clean, maintainable code. 👨‍💻 Perfect for: Developers using AI tools like Claude, GPT, Copilot Engineers frustrated with messy AI-generated code Anyone looking to improve AI coding discipline 🔔 Subscribe for more insights on AI Engineering, TPM, and Real-World GenAI Applications #Karpathy #ClaudeAI #AICoding #PromptEngineering #GenAI #SoftwareEngineering #DeveloperTools #TechShorts My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO

What is Anthropic's Mythos AI & Project Glasswing? || Short Explainer Anthropic has just unveiled one of the most powerful—and controversial—AI systems ever built: Claude Mythos. But here’s the twist… they refused to release it publicly. In this video, we break down what Mythos AI really is, why it’s being called a “cybersecurity breakthrough”, and how it led to the creation of Project Glasswing—a global initiative involving tech giants like AWS, Google, Microsoft, and Apple. 🔍 What you’ll learn in this video: What makes Claude Mythos so powerful (and dangerous) How it discovered thousands of critical vulnerabilities across operating systems and browsers Why Anthropic chose NOT to release it publicly What Project Glasswing is and how it uses AI to fight AI-driven cyberattacks How this could completely reshape the future of cybersecurity, software development, and AI safety 🚨 Mythos isn’t just another LLM—it can: Identify hidden vulnerabilities across massive codebases Generate exploits AND propose fixes Operate across the full cybersecurity lifecycle Because of its potential misuse, Anthropic is restricting access to a small group of trusted organizations and using it strictly for defensive purposes under Project Glasswing . 🌐 Project Glasswing is essentially a first-of-its-kind collaboration where AI is used to secure the world’s most critical software infrastructure—before attackers can exploit it . 💡 This marks a major shift: We’re entering an era where AI is not just building software… but actively defending (and potentially breaking) it. 👉 If you’re a TPM, developer, cybersecurity professional, or AI enthusiast, this is something you cannot ignore. 🔔 Don’t forget to: Like 👍 | Comment 💬 | Subscribe 🔔 For more content on AI, Tech Strategy, and Project Management AI, Anthropic, Claude Mythos, Project Glasswing, Cybersecurity AI, AI Safety, Generative AI, LLM, AI News 2026, Tech Explained My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO

How AI is Changing the Role of a Technical Program Manager (TPM)? The role of a Technical Program Manager (TPM) is evolving rapidly in the age of AI, GenAI, and Agentic systems — and it’s no longer just about coordination or tracking timelines. In this video, we break down how TPMs are becoming the critical bridge between business strategy and engineering execution, especially in complex, AI-driven environments. While Product Managers define what to build, TPMs own the how — ensuring seamless execution across systems, teams, and dependencies. 🚀 What You’ll Learn: Why TPMs are more important than ever in the AI world The shift from execution tracking → systems thinking & architecture alignment How TPMs identify hidden bottlenecks across teams The importance of technical literacy (without needing deep coding expertise) Why the best TPM work is often invisible when done right TPM as an Information Architect in modern organizations In an AI-first world, success isn’t just about building fast — it’s about building right, aligned, and resilient systems. That’s where TPMs shine. 🎯 Who This Video Is For: Aspiring & current Technical Program Managers Project / Program Managers transitioning into tech roles Engineers looking to move into TPM roles Anyone working in AI, GenAI, or large-scale systems delivery 💡 Key Takeaway: A great TPM doesn’t just manage programs — they prevent chaos before it happens. 🔔 Don’t Forget: If you're learning about Technical Program Management, AI projects, and real-world execution strategies, subscribe for more practical insights. #TechnicalProgramManager #TPM #AIProjects #ProgramManagement #GenAI #SystemsThinking #TechCareers #ProjectManagement #AITransformation #Leadership My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO

Human Edge in the AI Age – Key Takeaways || Audio Summary This video is an AI-generated audio summary of the book "Human Edge in the AI Age". It covers the key ideas, insights, and takeaways on how humans can stay relevant, valuable, and ahead in a world increasingly driven by artificial intelligence. 🚨 Disclaimer & Credits This audio is generated using Google NotebookLM for educational and informational purposes. This video is a summary/interpretation, not a replacement for the original book. All rights and credits for the original content belong to the respective authors and publishers. 📘 Support the Author – Buy the Original Book: https://www.amazon.in/Human-Edge-Age-Bestselling-Mastering/dp/0143477587/ 💡 What You'll Learn in This Video What “Human Edge” really means in the AI era Skills that AI cannot easily replace How to stay competitive and future-ready The role of creativity, empathy, and critical thinking Practical insights to adapt and thrive 🧠 Who This Video Is For Students and professionals preparing for the AI-driven future Project managers, tech professionals, and leaders Anyone curious about AI vs Human capabilities 👍 If you found this useful, don’t forget to: Like 👍 Share 🔁 Subscribe 🔔 for more content on AI, productivity, and project management #AI #HumanEdge #BookSummary #ArtificialIntelligence #FutureSkills #NotebookLM My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Visit our website: https://www.programstrategyhq.com/ --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: https://amzn.to/4aiMfoK Agile Estimating and Planning: https://amzn.to/4jiUjKf SAFe 5.0 Distilled: https://amzn.to/3WkUAmn Inspired - Product Management: https://amzn.to/3WoHowO