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Google has released 5 outstanding white papers on Kaggle covering the shift from traditional software engineering to Agentic Engineering. Together they're over 250 pages of practical guidance—not just on AI coding tools, but on how engineering teams, workflows, and software delivery are evolving. 📚 The collection includes: 🔹 The New SDLC With Vibe Coding From ad-hoc prompting to Agentic Engineering. A great introduction to how the software development lifecycle is changing. https://lnkd.in/dVPevtpS 🔹 Agent Tools & Interoperability Learn how AI agents communicate, use tools, integrate with MCP, and work together in production systems. https://lnkd.in/dNSK79sd 🔹 Agent Skills Covers the essential capabilities every AI agent needs, including planning, reasoning, memory, collaboration, and tool use. https://lnkd.in/dRYyyR8D 🔹 Vibe Coding Agent Security and Evaluation Explains how to evaluate AI agents, secure AI-powered applications, and introduce governance and responsible AI practices. https://lnkd.in/dRhxxMFk 🔹 Spec-Driven Production Grade Development in the Age of Vibe Coding My personal favorite. It explains how to move from AI-generated prototypes to production-grade software using specification-driven engineering. https://lnkd.in/dHqnF2jJ This is a must-read for anyone in Software Engineering—including Technical Program Managers. Understanding AI isn't enough anymore. We also need to understand how engineering practices, team structures, and delivery models are evolving alongside it. If you've already read any of these, I'd love to know which one was your favorite. Addy Osmani, Shubham Saboo #AI #ArtificialIntelligence #SoftwareEngineering #TechnicalProgramManager #AIEngineering #AgenticAI #VibeCoding #LLM #GoogleAI #Kaggle #EngineeringLeadership

Vibe Coding Without a Process with and Agile transformation explanation.. #aifunny

Software engineering is undergoing its biggest transformation since the introduction of high-level programming languages. In this video, we explore Google's "The New SDLC with Vibe Coding" whitepaper by Addy Osmani, Shubham Saboo, and Sokratis Kartakis, and discuss what it means for developers, architects, Technical Program Managers, and engineering leaders. We'll move beyond the hype around AI coding assistants and understand how software engineering itself is evolving—from simply writing code to designing systems that build software. 📌 In this video, you'll learn ✅ Why AI is changing the Software Development Life Cycle (SDLC) ✅ The evolution from Autocomplete → AI Coding Agents ✅ What is Vibe Coding? ✅ What is Agentic Engineering? ✅ The difference between Tests and Evals ✅ Why Context Engineering is becoming the most important AI skill ✅ Static vs Dynamic Context ✅ Agent Skills and Harness Engineering ✅ The Factory Model of AI-native software engineering ✅ Conductor vs Orchestrator mindset ✅ The 80% Problem ✅ How Developers, TPMs, and Engineering Leaders should prepare for AI-native development 📚 Based on The New SDLC with Vibe Coding White Paper Authors: Addy Osmani, Shubham Saboo, Sokratis Kartakis This video is an educational walkthrough and interpretation of the concepts presented in the whitepaper, combined with practical engineering insights and real-world examples. 🎥 AI Native Software Engineering Series This is Episode #1 of the series. Upcoming videos include: ▶️ Spec-Driven Development ▶️ AI Native Software Engineering Prerequisites ▶️ Context Engineering Deep Dive 👍 If you found this useful Please Like 👍 Share with your engineering team Subscribe for more AI Native Software Engineering content Leave a comment with your thoughts on how AI is changing software development. 📌 Connect with me Jacinth Paul Technical Program Manager | AI Native Engineering | GenAI | Developer Productivity My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ --------------------------------------------- #AINativeEngineering #SoftwareEngineering #AI #AgenticEngineering #VibeCoding #ClaudeCode #CursorAI #GitHubCopilot #GenerativeAI #ArtificialIntelligence #Developers #TechnicalProgramManager #TPM #SoftwareDevelopment #Programming #LLM #ContextEngineering #Google #AIAgents #SDLC

Agentic Engineering is replacing traditional software development — and Google's new whitepaper explains exactly how. Learn what the New SDLC means for developers, engineers, and technical leaders navigating the AI era. In this video, we break down Google's whitepaper 'The New SDLC: From Ad-hoc Prompting to Agentic Engineering,' authored by Addy Osmani, Shubham Saboo, and Sokratis Kartakis. This paper is one of the most important reads for anyone working in software engineering, AI development, or technical program management right now. 📌 What You'll Learn: ✅ What Vibe Coding actually means — and why it's only the beginning ✅ Why Agentic Engineering is the next evolution of software development ✅ The shift from writing code to defining intent and outcomes ✅ Context Engineering vs. Prompt Engineering — and why the difference matters ✅ How AI agents operate within structured systems of specs, guardrails, and evaluations ✅ The role of human oversight in agentic software workflows ✅ What this means for Software Engineers, TPMs, Scrum Masters, and Product Managers Whether you're a developer experimenting with AI-assisted coding, a Technical Program Manager leading engineering teams, or an Agile practitioner trying to understand where AI fits into your SDLC, this video gives you a practical, clear breakdown of where software development is heading. The era of ad hoc prompting is over. The future belongs to engineers who can design, orchestrate, and govern AI agent systems — and this whitepaper shows you the roadmap. 🔔 Subscribe for weekly content on AI engineering, technical program management, Agile leadership, and the future of software development. 💼 Connect with me on LinkedIn: https://www.linkedin.com/in/jacinthp/ #AgenticEngineering #NewSDLC #VibeCoding #AIEngineering #SoftwareDevelopment #ContextEngineering #TechnicalProgramManager #AgileLeadership #AIAgents #PromptEngineering #SDLC #GoogleAI #FutureOfCoding #TPM #SoftwareEngineering

Pass the Claude Certified Architect – Foundations (CCA-F) exam with this FREE, open-source browser-based study console — no signup, no install required! This interactive exam prep tool covers every domain and task from the official CCA-F blueprint, with real code examples, anti-pattern walkthroughs, sample questions, and a cheat sheet built right in. ✅ What's inside the free console: → All 5 domains and 30 tasks from the official CCA-F exam blueprint → Code examples for every concept — see it in action, not just read about it → Anti-pattern walkthroughs — know what NOT to do on exam day → Sample exam questions with detailed explanations → Quick-reference cheat sheet for last-minute review → Runs 100% in your browser — zero setup required This tool started as a personal notes project while going deep on the CCA-F domains. The goal was to build something that explains Claude AI concepts in the context of the actual exam — not just surface-level summaries. Whether you are just starting your Claude Certified Architect journey or doing a final review before your certification exam, this console is designed to help you study smarter. 🎯 Who this is for: • Developers and architects preparing for the Anthropic CCA-F certification • Anyone studying Claude AI, prompt engineering, and responsible AI design • Learners who want hands-on, example-driven exam prep 🔗 Access the free exam prep console: https://jacinthpaul.github.io/Claude-Certified-Architect/ 📌 Connect with me on LinkedIn for more AI certification content and learning-in-public updates: https://www.linkedin.com/in/jacinthp/ If this helped you, drop a like and subscribe — it helps more CCA-F candidates find this free resource. Good luck on your exam! 🚀 #ClaudeCertifiedArchitect #CCAF #AnthropicCertification #ClaudeAI #AIArchitect #ExamPrep #AICertification #PromptEngineering #LearnAI #FreeCourse

🚀 AI Engineering is evolving fast! We started with Prompt Engineering, moved to Context Engineering, and are now entering the era of Harness, Loop, and Fleet Engineering. Here's the stack every AI builder should understand in 2026. #AIEngineering #PromptEngineering #ContextEngineering #AIAgents #GenerativeAI #ArtificialIntelligence #SoftwareEngineering #TechTrends #AI2026 🔹 Prompt Engineering — Craft clear instructions to get better AI responses. 🔹 Context Engineering — Provide the right data and knowledge so AI can make smarter decisions. 🔹 Harness Engineering — Secure, govern, monitor, and control AI systems in production. 🔹 Loop Engineering — Use user feedback and evaluations to continuously improve AI performance. 🔹 Fleet Engineering — Manage and orchestrate multiple AI agents and systems at scale. ⚡ Prompt Engineering was just the beginning. Here's the new AI Engineering Stack that's shaping 2026.