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New MEAP! Spring Start Here, Second Edition—SAVE HALF!
Spring Start Here, Second Edition by Laurenţiu Spilcă is a foundations-first introduction to the Spring framework. Perfect for Spring beginners, it steadily builds understanding through practical projects that explore the main ideas of Spring: configuration, beans, web endpoints, data access, and application structure.
Fully updated for Spring Framework 7 and Spring Boot 4, this practical book prepares you for fast development, clean application design, efficient cloud-native systems, and reliably-secure applications. Along the way, you’ll learn some best practices for applying your knowledge of
Spring fundamentals when you’re using AI and agentic coding tools. [Read more]
Build, test, and scale framework-agnostic web components
In this practical and easy-to-follow guide, author Mark Volkmann shows you how Web components deliver something no JavaScript framework can match: true portability. Built on W3C standards and supported natively by every modern browser, web components let you build UI elements once and reuse them anywhere, in React, Vue, Angular, Svelte, plain HTML, or even Markdown documents. No framework downloads and no immovable dependencies. [Read more]
A friendly guide for programmers and other curious people
A fast-paced introduction to the foundational ideas of software architecture, written for developers and aspiring architects. Creative illustrations and diagrams, hilarious disaster stories, “in action” missions, and a full repo of example code, teach you how to spot design mistakes and understand architectural tradeoff decisions. Along the way, you’ll also explore author Matt Erman’s 5-step Architectural Thinking Process for reliably turning vague business requests into clear, defensible technical decisions. [Read more]
A practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step. The book tells a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build reliable evaluation tools, improve reasoning through inference-time methods, then move into training-based approaches such as reinforcement learning and distillation. [Read more]
The responses from Large Language Models (LLMs) are more accurate, consistent, and explainable when you provide specific relevant information, or context, to support your prompts. This book shows you how to combine well-designed prompts with smart search, content filtering, and advanced RAG techniques incorporating many types of stored data to create reliable responses in your AI applications. [Read more]
This rockstar book takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. [Read more]
Build practical, production-ready AI agents by showing how the major pieces of an agentic system fit together in real applications. Rather than treating agents as magical wrappers around LLMs, author Micheal Lanham breaks them down into concrete engineering layers: persona, tools, reasoning and planning, knowledge and memory, evaluation and feedback, deployment, and orchestration. [Read more]
Generating code with AI can feel effortless, but it’s only one part of software engineering. A production-grade development pipeline includes testing, validation, refactoring, optimization, and deployment. This book shows you how to go from AI-assisted coding to a AI-infused full-spectrum process author Tomasz Lelek and Artur Skowroński call vibe engineering. [Read more]
Microservices architecture has become an essential approach for developing large, complex enterprise applications using fast flow: the continuous delivery of a stream of small changes and rapid feedback on each one. This unique book collects, catalogues, and explains dozens of patterns that solve common microservices problems—from service decomposition, to inter-service communication. You’ll soon be benefiting from increased technology diversity, incremental upgrade capabilities, and no other teams stepping on your toes! [Read more]
Today's AI models demand a lot of memory, compute, and server horsepower—which quickly translates into cost. This book shows you how you can optimize AI models without architectural redesigns or task-specific compression. It reveals practical techniques for quantization, systematically reducing numerical precision to achieve faster inference, lower memory usage, and cheaper deployment—all with minimal accuracy loss. [Read more]
Learn how to make evidence-based investment decisions on AI projects. Author Christophe De Greift guides you through examples in real estate, retail, manufacturing, finance, and more. You'll learn to apply one-page canvases, problem-solving frameworks, readiness and maturity scorecards, stakeholder interview guides, prioritization models, editable AI prompts, and other practical tools, all with explicit criteria built in. [Read more]
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