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Category: "Software Engineering"

Software Engineering

  1. Runtime Patterns for Embedded Systems
    Runtime Patterns for Embedded Systems
    Modules and Examples with Complete Source Code for STM32F7 Discovery Board and ARM Cortex-M7
    David Clifton

    Descriptions, Discussion, and Selected Source Modules illustrating State Machines, Event Handlers, Message Pumps, Fibers, and Event-triggered, Interacting State Machines. A demo program can be downloaded and run on an STM32F746G_DISCO board.

  2. Spec Driven Development - EN
    Spec Driven Development - EN
    From vibe-coding to software engineering
    J.C.Ködel

    AI can write code faster than you can read it—so why do projects still derail? The answer is the spec. This book teaches Spec-Driven Development hands-on, building a complete app one loop at a time with Spec Kit. Stop prompting and praying. Start shipping software AI actually gets right.

  3. ソフトウェア開発者のガイドブック (日本語版)
    ソフトウェア開発者のガイドブック (日本語版)
    現代的なエンジニアリング実践の集成
    David Farley, Bernard McCarty (Editor), and TranslateAI

    より良いコードを書き、効果的な開発者の習慣を身につけ、優れたソフトウェアを構築するための実践的なアドバイスが詰まった実用的なハンドブックです。

  4. Fundamentals of Physical Memory Analysis
    Fundamentals of Physical Memory Analysis
    Anniversary Edition
    Dmitry Vostokov

    The book is a fully revised transcript of a seminar about physical memory analysis on Windows platforms. Topics include memory acquisition, memory spaces, challenges of physical memory analysis, common WinDbg commands, memory analysis patterns and their classification, common mistakes, a hands-on WinDbg analysis example, a guide to further study.

  5. Naming Things
    Naming Things
    The Hardest Problem in Software Engineering
    Tom Benner

    Naming is one of the most difficult and enduring challenges in software engineering, but few of us do it well. This practical and comprehensive book provides a set of principles, rules, and application guidelines for efficiently choosing good names in your code.

  6. AI Engineering with TypeScript
    AI Engineering with TypeScript
    A Comprehensive Guide to Building AI Agents
    Kristin and Aaron

    Build real AI products with TypeScript. Learn LLMs, RAG, Agents, MCP, and production AI engineering from a frontend developer's perspective.

  7. System Design Workbook
    System Design Workbook
    Edição 2026
    Matheus Fidelis

    System Design Workbook – Edição 2026 é uma obra que traduz, organiza e conecta os principais fundamentos da engenharia de sistemas distribuídos sob uma perspectiva prática, moderna e orientada à realidade de produção.

  8. Performance and Chaos Engineering: Breaking Things on Purpose
    Performance and Chaos Engineering: Breaking Things on Purpose
    Load Testing, Stress Testing, and Resilience Engineering
    Yuri Syuganov

    Break things on purpose, before production does it for you. Load tests that mirror reality and chaos experiments you can defend to management.

  9. Make Bugs (nearly) Impossible
    Make Bugs (nearly) Impossible
    Resisting human and AI slop in an LLM age.
    Jason Turner

    With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?

  10. Concurrent Programming in Java
    Concurrent Programming in Java
    From Traditional Threads to Project Loom
    Florin Radu

    Master the ideas behind Java concurrency, from threads, race conditions, and synchronization to CompletableFuture, virtual threads, and structured concurrency. With practical patterns, runnable examples, and a companion GitHub repository, this book helps you move from understanding concurrency to applying it in real programs.

  11. Building AI That Knows Your Data
    Building AI That Knows Your Data
    RAG From Scratch · Volume I · Foundations
    JC Marin

    Your company's answers are already written down. This book builds the machine that finds them.

  12. You Don't Know JS Yet: The Unbooks
    You Don't Know JS Yet: The Unbooks
    Previously Unpublished 2nd-Ed Book Content (Raw & Uncut)
    Kyle Simpson

    You Don’t Know JS Yet: The Unbooks is the final, draft-edition release of the second edition series—featuring the complete but unedited drafts of Book 3: Objects & Classes and Book 4: Types & Grammar, plus two bonus chapters reflecting on the “lost” books that were never written. This is the raw, honest conclusion to You Don’t Know JS Yet—a gift for readers who still care about deeply understanding JavaScript.

  13. GitOps
    GitOps
    Cloud-native Continuous Deployment
    Florian Beetz, Anja Kammer, and Dr. Simon Harrer

    GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

  14. Lift the Elephant
    Lift the Elephant
    Scaling PostgreSQL Beyond Query Optimization
    Alex Yarotsky

    When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.

  15. Sustainability for Java Developers
    Sustainability for Java Developers
    Towards an Understanding of Sustainable Java Software Development
    Geertjan Wielenga, Frank Delporte, Simon Martinelli, Markus Westergren, Jan Ouwens, Jan-Hendrik Kuperus, jlengrand, A N M Bazlur Rahman, Vasco Correia Veloso, Ko Turk, Hanno Embregts, and Maarten Mulders

    Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.