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Category: "Computers and Programming"

Books

  1. The Sovereign Engineer
    AI Literacy for Software Professionals
    Russ Miles

    AI is an amplifier. It magnifies whatever engineering discipline — or lack of it — already exists, which means the bottleneck was never AI's capability; it is the collaboration space you design around it. This book is a six-level progression from early AI panic to sovereign engineering: the discipline of designing the environment in which human and artificial intelligence produce work worth keeping. It moves past prompting into the practices that compound — verification, habitat engineering, specification-first development, and the platform discipline that scales the practice across teams. The habitat is yours to design. Let's build it well.

  2. Becoming a Harness-Driven Developer
    Building Reliable Systems in the Age of AI-Generated Code
    Miloš Kecman

    AI can generate code faster than ever. But speed is no longer the hardest part of software development.The real challenge is building systems where generated code remains correct, controlled, and aligned with architectural intent. Becoming a Harness-Driven Developer introduces a new development model for the age of AI-assisted engineering - one where developers focus less on writing every line by hand and more on defining the rules, structure, and enforcement mechanisms within which AI code agents operate.Through a practical repository mapped directly to the book’s chapters, this book shows how to move from ad hoc coding to a harness-driven approach based on specification, architecture, invariants, controlled execution, and system evolution. This is a book about staying in control while software development changes.

  3. Build Your Own Coding Agent
    The Zero-Magic Guide to AI Agents in Pure Python
    J. Owen

    Skip the black-box frameworks. Build a production-grade AI coding agent from scratch in pure Python - cloud or local, tested with pytest, all in a single file.

  4. Transform the way you test in Agile.Effective Testing in Agile/Scrum reveals how smart QA strategies can drive faster, better software delivery. Learn how to embed testing into every sprint, boost collaboration, and ensure quality without slowing down the team. Perfect for Agile teams aiming to build with confidence.

  5. Why We Still Suck At Resilience
    Organizational Dynamics
    Adrian Hornsby

    Your organization does all the right things. They practice chaos engineering, GameDays, and load testing. They conduct incident reviews and operational readiness reviews. Yet the same types of incidents keep recurring. This book examines why resilience practices so often fail to build resilience, revealing the organizational dynamics that systematically transform learning mechanisms into compliance theater and what you can do to navigate them consciously.

  6. The EventStorming Handbook
    Unlocking Creativity, Collaboration, and Communication for Your Teams
    Paul Rayner

    Need a quick introduction to running an effective EventStorming session? This book is a handy quick start guide for anyone wanting to learn how to facilitate an EventStorming session.

  7. Frontend System Design Essentials
    A practical guide to designing scalable, reliable, and maintainable frontend systems.
    Juntao Qiu

    A practical guide to designing scalable and maintainable frontends. Learn how to think beyond components, model data effectively, shape APIs around real access patterns, and apply modern techniques like pagination, caching, virtualization, and real-time updates. Perfect for engineers preparing for system design interviews or leveling up in complex frontend projects.

  8. The AIOps Book
    From Manual Operations to AI-Powered Infrastructure
    Quan Huynh

    Master AI-powered infrastructure automation with this hands-on guide to building production-ready MCP servers and AI agents in Go. Transform from manual AWS operations to intelligent automation that understands your environment and makes smart decisions while keeping humans in control.

  9. Practical Kotlin Deep Dive 한국어
    코틀린의 기초 원리와 언어 철학을 넘어 내부 동작까지 ‘How’와 ‘Why’를 탐구하는 기술 가이드
    Jaewoong

    본 책은 단순히 “코틀린을 어떻게 사용하는가”를 넘어, “코틀린이 실제로 어떻게 동작하는가”까지 안내합니다. 내부 구현을 들여다보고, 바이트코드와 컴파일러의 동작을 명확히 탐구하며, 언어를 형성하는 핵심 내부 구조를 파헤칩니다. 기초 문법부터 코루틴, 컴파일러에 이르기까지 더 깊이 이해하고, 더 자신 있게 코틀린 코드를 작성하고 싶은 분들께는 좋은 지침서가 될 것입니다. 특히, 우리가 일상에서 친숙하게 사용하던 모든 언어적인 형태가 왜 지금과 같은 형태로 설계되었는지를 탐구하며 사고의 깊이를 더할 수 있습니다. Hardcover | Paperback | ISBN: 979-8243872744 [Course] Practical Kotlin Deep Dive Course

  10. Manifest Android Interview
    The ultimate guide to cracking Android technical interviews
    Jaewoong

    To ace your next Android job interview, focus on truly understanding the concepts, not just memorizing answers, and practicing how to apply them. With 108 interview questions, 162 additional practical questions, and 50+ pro tips, this book helps you sharpen skills, understand the why, and prepare for real-world technical challenges. Hardcover | Paperback | ISBN: 979-8285926436 The Course: Manifest Android Interview

  11. Functional Programming Made Easier
    A Step-by-Step Guide
    Charles Scalfani

    A Functional Programming book from beginner to advanced without skipping a single step along the way. In my 40 years of programming, I've felt that programming books always let me down, especially Functional Programming books. So, I wrote the book I wish I had 5 years ago. Functional Programming will never be easy, but it can be easier.

  12. Kotlin Coroutines
    Deep Dive
    Marcin Moskała

    Kotlin coroutines have revolutionized JVM development, especially on Android and the backend, as they let us easily implement efficient and reliable multithreading. Their cutting-edge design and features are ideally suited to modern use cases. In this book, we will explore how Kotlin coroutines work and how we can use them to improve our code.

  13. My Adventures with Large Language Models
    Build foundational LLMs from Transformers to DeepSeek, from scratch, in PyTorch.
    Prathamesh S.

    Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

  14. The AI Coverup: Are We Really Hallucinating?
    HPC Tradecraft Apprenticeship, Volume 1
    Edward W. Barnard

    What was so unusual and special about Cray Research? We accomplished, repeatedly, what nobody else on the planet was able to match. High-Performance Computing is not merely parallelism and large-scale systems. That is the public-facing decoy version.

  15. Inside Large Language Models for absolute beginners: Volume I
    Simple Arithmetic and beginners Python based approach
    Ritesh Modi

    Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.