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Category: "Software Engineering"

Software Engineering

  1. Nothing Shared, Everything Gained
    Nothing Shared, Everything Gained
    From Legacy PHP to Sustainable Architecture
    Kore Nordmann

    Side effects are the enemy. A distillation of seven years consulting 100+ teams and eight years building a product through multiple pivots without a single rewrite. Five building blocks, two perspectives, zero dogma.

  2. Enterprise AI Agents: From POC to Production on AWS

    Building an AI agent demo takes a week. Getting it to production in an enterprise takes a year. This is the battle-tested guide to surviving that year ... covering the IAM policies, networking, data architecture, and cost engineering nobody warns you about.

  3. Constraint-Based Design: An Unexpected Gateway to Understanding Modern LLM Architecture
    Constraint-Based Design: An Unexpected Gateway to Understanding Modern LLM Architecture
    The HPC Tradecraft Master Practitioner, Volume 3
    Edward W. Barnard

    A 1986 text adventure game written inside the Cray I/O Subsystem turns out to be architecturally isomorphic to modern transformer design. This capstone volume uses the playable game and its assembly language source as a case study in constraint-based design, including the bare metal thinking we stopped teaching around 1995.

  4. The Gap
    The Gap
    Why Software Delivery Gets Harder, Slower, and More Expensive—and What Stops It
    Luniel de Beer

    Missed deadlines, defects, technical debt, rework, and rising costs are usually treated as separate problems. The Gap shows what connects them and why the usual remedies only go so far.

  5. Business Central in the Age of AI — A Field Guide for Developers and Consultants
    Business Central in the Age of AI — A Field Guide for Developers and Consultants
    AI-Powered Development and Consulting for Microsoft Business Central
    Milos Mikulasek

    You already know AI exists. You know it could save you time. But how do you actually bring it into your daily Business Central work — writing AL code, debugging, building integrations with Azure OpenAI, or preparing documentation for a client?This book shows you exactly how.

  6. What to Code
    What to Code
    The Indie Hacker's Guide to Finding Profitable Micro-SaaS Ideas in the Vibe Coding Era
    Finxter

    Don't waste your time to learn how to code. That's what AI is here for. This book focuses on the far more profound question: What to code? This is the new meta skill between now and 2030!

  7. Business Central v době AI — Příručka pro vývojáře a konzultanty
    Business Central v době AI — Příručka pro vývojáře a konzultanty
    Příručka pro vývojáře a konzultanty
    Milos Mikulasek

    Víš, že AI existuje. Víš, že by ti mohla ušetřit čas. Ale jak ji skutečně zapojit do každodenní práce s Business Central — do psaní AL kódu, ladění chyb, tvorby dokumentace nebo integrace s Azure OpenAI?Tato kniha ti ukáže jak.

  8. Agentic Systems
    Agentic Systems
    Building Invisible Engines for a World Tired of Software
    Shahril Azwin Zainul Abidin

    Stop building dashboards. Start building outcomes. A guide to designing "Invisible Engines" and agentic systems for a world tired of software.

  9. Deployment Intelligence
    Deployment Intelligence
    How Engineering Leaders Stop Deploying Blind
    Andrew McCarron

    Every post-mortem starts the same way: "We didn't see it coming." This book argues that's no longer acceptable — and shows you the science behind predicting deployment risk before it becomes an incident.

  10. A OPERATOR'S HANDBOOK
    A OPERATOR'S HANDBOOK
    Notes from the invisible profession
    Barton E Nicholls

    The draft ones were never sent. The post-mortems never said what really happened. The meetings never heard what you actually thought. This is the book that does.

  11. Linux Troubleshooting Strategies
    Linux Troubleshooting Strategies
    Creative Fixes and Workarounds for Common Linux Problems
    Jay LaCroix

    Troubleshooting Linux systems can feel like solving a mystery—but the right strategies make all the difference. This ebook teaches practical techniques, tools, and real-world approaches that help you diagnose problems faster and fix them with confidence.

  12. CAS Internals: A Journey Through the Central Authentication Server Codebase

    Across 30 chapters, you'll trace real code paths through nearly 400 CAS modules, learning the architecture decisions, design patterns, and implementation techniques that hold this massive system together. Whether you're a CAS contributor trying to fix a tricky bug, an architect evaluating CAS for your organization, or a Java developer who wants to study a mature, real-world Spring Boot application at scale — this book gives you the map. Written by a long-time CAS committer who has been involved since the original CAS 3.0 architecture, this book distills years of hard-won knowledge into a single, code-level reference.

  13. Fixing Software Delivery
    Fixing Software Delivery
    The Engineering Leader’s Field Guide
    Max Guernsey, III and Luniel de Beer

    Fix software delivery problems by addressing their real causes, not the symptoms. Divided into concise, standalone executive briefs you can use immediately.

  14. Modern Introduction to Data Science
    Modern Introduction to Data Science
    Mastering Analytics, Machine Learning, and Data-Driven Insights
    Alex R. Insight

    Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.

  15. From Zero to Production with AWS Lambda
    From Zero to Production with AWS Lambda
    A Technical Guide for Building Production-Ready Serverless Applications
    Lucas Brogni

    Most tutorials about AWS Lambda stop at simple examples. Real-world systems are much more complex.From Zero to Production with AWS Lambda is a practical guide for developers who want to move beyond “Hello World” and build reliable serverless systems that actually run in production.This book explains how AWS Lambda works under the hood, how to design maintainable serverless architectures, and how to integrate Lambda with services like API Gateway, DynamoDB, SQS, and EventBridge.Instead of focusing on theory, the book emphasizes real engineering practices: observability, error handling, security, testing strategies, deployment pipelines, and cost optimization.If you want to understand how to design, build, and operate production-ready serverless applications, this guide will help you get there.