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  1. Talking with Tech Leads
    Talking with Tech Leads
    From Novices to Practitioners
    Patrick Kua

    A book for Tech Leads, from Tech Leads. Discover how more than 35 Tech Leads find the delicate balance between the technical and non-technical worlds. Discover the challenges a Tech Lead faces and how to overcome them. You may be surprised by the lessons they have to share.

  2. Understand Your Domain First
    Understand Your Domain First
    An Introduction to Event Storming and Domain-Driven Design
    Maciej "MJ" Jedrzejewski

    The easiest (and shortest) entry point to Event Storming and Domain-Driven Design you will find for free. I designed this book to be as close to a workshop experience as possible, and I did my best to make it so. Instead of focusing solely on abstract concepts, you will follow a real-world case study throughout the chapters.

  3. Rethinking Performance Engineering for Agentic AI
    Rethinking Performance Engineering for Agentic AI
    A Practitioner's Guide to Performance, Latency Budgets, and Production-Grade Observability for Scalable Enterprise Agentic AI
    Kandasamy Selvaraj

    Your agent passed every load test and timed out in production anyway. This free practitioner's guide shows why the traditional performance playbook breaks for agentic AI, and what replaces it: latency budgets, bounded autonomy, token SLOs, and production-grade observability, from a performance engineering and observability architect with two decades in production.

  4. EXACT-Coding
    EXACT-Coding
    Beyond Vibe Coding: Agentic Engineering mit TDD und Software Craft
    Marco Emrich, Ferdinand Ade, and Christine Herdt

    Agentic Coding verspricht Geschwindigkeit – aber Vibe Coding liefert oft Chaos. EXACT Coding zeigt, wie Software-Craft-Prinzipien und TDD als Korrektiv wirken: für Code, der schnell entsteht und trotzdem hält, was er verspricht.

  5. LM Studio in Action: Building Safe, Private AI with LLMs, Function Calling and Agents with MCP

    LM Studio is a great tool for running LLM models locally on your own computer. Tech overviews and Python examples. Deep dive into using Model Context Protocol (MCP)

  6. Kubernetes: Once Upon A Time
    Kubernetes: Once Upon A Time
    Container Orchestration
    Manuel Morejón

    Master Kubernetes v1.35+ on your laptop without cloud bills. Build production-grade multi-node clusters using Kind (Kubernetes in Docker). From architecture basics to Ingress, Gateway API, and RBAC.

  7. Docker: Érase Una Vez
    Docker: Érase Una Vez
    Crear, compartir y ejecutar aplicaciones modernas
    Manuel Morejón

    ¿Kubernetes te parece difícil? Esta es la precuela técnica que necesitas. Deja de copiar Dockerfiles a ciegas y domina los cimientos: imágenes, redes, volúmenes y Docker Compose. La guía definitiva en español para entender los contenedores y construir la base sólida de todo Ingeniero DevOps.

  8. A Lisp Programmer Living in Python-Land: The Hy Programming Language
    A Lisp Programmer Living in Python-Land: The Hy Programming Language
    Use Hy with Large Language Models, Semantic Web, Web Scraping, Web Search, Knowledge Graphs.
    Mark Watson

    All examples in Hy. The Hy language (Lisp that compiles to Python) allows Lisp programmers access to the rich Python ecosystem for Large Language Models, deep learning, artificial intelligence, and general data wrangling. Applications: LangChain, Knowledge Graphs, NLP, Deep Learning.

  9. Construindo APIs testáveis com Node.js
    Construindo APIs testáveis com Node.js
    Fundamentos de qualidade de software para a construção de APIs com Node.js
    Waldemar Neto

    Construindo APIs testáveis com Node.js utiliza exemplos do dia a dia para a construção de aplicações Node.js seguindo as melhores práticas de qualidade e desenvolvimento; Um guia, tanto para desenvolvedores iniciantes quanto para experientes, para a construção de aplicações robustas e resilientes guiadas por testes.

  10. Docker para desenvolvedores

    Temos estudado e praticado sobre Docker há algum tempo e percebemos que a documentação oficial não é ideal para quem estar começando a sua utilização, não é didático, pois acredito que inclusive não se proponha a isso. É apenas um ótimo material de referência. Sendo assim resolvemos escrever um livro de uma forma simples e direta, para que os desenvolvedores possam usar Docker sem precisar se aprofundar na sua infraestrutura. Esse livro apresenta a utilização do Docker focando nas melhores práticas de uso, com base na metodologia 12factor.

  11. Report Writing for Data Science in R

    This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

  12. The Sovereign Apprentice
    The Sovereign Apprentice
    AI Literacy for New Engineers
    Russ Miles

    The tool made you fast before it made you good. The Sovereign Apprentice is the regime that rebuilds what fluency skipped — judgment, verification, and a craft that's actually yours. Companion to The Sovereign Engineer.

  13. Теория информации для машинного обучения
    Теория информации для машинного обучения
    От энтропии и кодирования к NLP, LLM, компьютерному зрению и обучению с подкреплением
    Vlad Kulikov

    Теория информации: от энтропии и кодирования до NLP, LLM, компьютерного зрения и обучения с подкреплением.

  14. Modern LLMs
    Modern LLMs
    Architectures, Training, Alignment, Evaluation, Agents, and Safety
    Vlad Kulikov

    Modern LLMs from architectures and training to alignment, evaluation, agents, and safety—presented as a structured public reader edition.

  15. Atom Education: Physics 101

    Build a strong foundation in physics without getting lost in jargon or formulas. Atom Education: Physics 101 combines intuitive explanations, practical examples, and structured problem-solving to make essential physics concepts easier to understand.