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New MEAP! Spec-Driven Development
For AI coding agents, accurately specifying your intent is the whole ballgame! Spec-Driven Development: Engineering with intent teaches you how to close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself.
As you explore the intent-first spec-driven development model, you’ll learn to adjust your
process for differences in alignment, human and agentic collaboration, and evolving outcomes. As the project scales into microservices, multiple repositories, and cross-team coordination, you’ll see how intent-led development pays out with infrastructure, deployment, security, acceptance testing, and architectural governance. Everything you’ll read and do is grounded in established software engineering fundamentals—extreme programming, legacy code refactoring, technical debt management—so you can connect new AI workflows to what you already know. [Read more]
Understanding AI: A beginner’s guide is a practical, accessible introduction to generative AI for professionals, educators, managers, students, and content creators who want to understand how AI models, applications, and agents work so they can use it effectively. Based on author Matthew Berman’s wildly popular YouTube videos, this entertaining and insightful book guides you from square one without a lot of math, code, and technical jargon.You’ll learn how to compare commercial and open models, how to know when a small model is a smart choice, and how to match the right tool to the task in front
of you. You also look at techniques like Retrieval Augmented Generation—or RAG—for grounding LLM responses in real information and understand how AI agents complete multi-step work on your behalf.
This book won’t lock you into one platform or one vendor. AI the tools will keep changing, and the book gives you the durable skills to keep pace. Read it once as an introduction, then return to it as a reference whenever a new model, new capability, or new question shows up in your work! [Read more]
