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Category: "Artificial Intelligence"

Artificial Intelligence

  1. Agent Development Kit
    Agent Development Kit
    on Google Cloud Platform
    Sudhanshu Jaiswal

    What if your AI didn’t just answer questions—but solved problems?Imagine an AI that doesn’t just chat—it plans, reasons, and takes action. An AI that can fetch data, run diagnostics, collaborate with other agents, and even handle your most tedious tasks—all while you focus on what matters.Google’s Agent Development Kit (ADK) makes this possible,

  2. AI Generalist Engineer
    AI Generalist Engineer
    From AI User to AI Builder: A Practical Guide to Building Enterprise AI Skills
    Padmanabham Venkiteela

    Go beyond using AI tools—learn to build AI solutions. AI Generalist Engineer is a practical guide for software engineers, architects, and technology leaders to master enterprise AI, AI agents, RAG, MCP, prompt engineering, orchestration, and modern AI architecture. Build the skills to design, integrate, and lead AI-powered systems with confidence.

  3. Redis for AI Applications: Building Fast, Intelligent Systems
    Redis for AI Applications: Building Fast, Intelligent Systems
    A Practical Guide to Caching, Vector Search, RAG, LLM Integration, and Production Deployment with Python
    Steve Publications

    Build smarter AI applications with Redis at the core. This practical guide shows you how to use vector search, RAG, semantic caching, agent memory and real-time inference to create fast, scalable systems. With runnable Python examples throughout, you’ll learn how to take AI projects from prototype to production.

  4. 拒绝裸驾��:别让智能体自己玩
    拒绝裸驾:别让智能体自己玩
    AI 时代,别让代码光着上路
    kejia shao

    当 AI 能替你写代码,真正的危险不是它写错,而是你以为它不会错。

  5. The Autonomous Lab: Engineering Agentic Infrastructure with MatrixClaw
    The Autonomous Lab: Engineering Agentic Infrastructure with MatrixClaw
    Building verifiable compliance and AI-driven automation on real hardware
    Michael Hinsley

    An AI asked to build a network and its own tooling refused — no human had signed. Six weeks later the same machinery governed bare metal serving a 740B-parameter model, every step on a committed record. This book builds that lab from the ground up: the gate, the run records, the GitLab nervous system, the audit trail — AI doing real infrastructure work you can prove afterwards.

  6. 可验证的智能
    可验证的智能
    个人、管理者与中小企业的 AI 采用、趋势判断与持续学习系统
    永飞扬

    从任务、基线和证据出发,验证 AI 的真实价值。为个人、管理者与中小企业建立责任链、趋势判断、持续学习,以及停止、导出、迁移和恢复能力。

  7. JAX Programming: From Fundamentals to Large-Scale Systems
    JAX Programming: From Fundamentals to Large-Scale Systems
    A Comprehensive Guide to Accelerated Python Computing
    Steve Publications

    From your first JAX script to large-scale AI systems, this book shows how to write faster, cleaner Python for modern computing. Learn the ideas behind JAX through practical examples, real projects and clear explanations that help you build everything from scientific simulations to distributed machine learning.

  8. Confiante e Errado
    Confiante e Errado
    Seu colega brilhante tem amnésia e mente com convicção — eis como construir software com ele mesmo assim.
    José Paschenda

    Um colaborador produtivo que escreve mais código que o time todo, mas esquece tudo com frequência. Quando não sabe, não hesita: inventa, confiante e errado. Você precisa aprender a trabalhar com ele: uma memória viva que mantém vocês na mesma página e um fluxo de trabalho que mantém tudo no lugar e funcionando. Dominar isso impede o agente de derivar e permite, enfim, produzir software de verdade.

  9. Desenvolvimento de Software na Era da IA
    Desenvolvimento de Software na Era da IA
    Dos Prompts Às Especificações
    J.C.Ködel

    A IA mudou a forma de escrever código, mas o verdadeiro impacto está na engenharia de software. Este livro explica por que especificação, arquitetura e contexto passaram a ocupar o centro do desenvolvimento moderno.

  10. AI-Assisted Development
    AI-Assisted Development
    Working With Coding Agents
    Yohan Rodriguez

    A working engineer's guide to building and maintaining production software with autonomous terminal coding agents (410 manuscript pages).

  11. Modern DevOps for Cloud and AI Platforms
    Modern DevOps for Cloud and AI Platforms
    Architecting, Operating, and Scaling Reliable Software Systems in the Age of AI
    Steve Publications

    Cloud, Kubernetes, AI, security and automation have changed what DevOps really means. This book cuts through the hype with practical guidance for building reliable, scalable platforms using proven patterns, real production lessons and modern engineering practices that help teams move faster without sacrificing stability.

  12. Context Engineering - PT
    Context Engineering - PT
    Engenharia de Informação para Sistemas de IA
    J.C.Ködel

    Context Engineering mostra como estruturar a informação do projeto para que a IA produza software consistente, previsível e alinhado com os teus padrões de engenharia.

  13. FOCUS Architecture - PT
    FOCUS Architecture - PT
    Feature-Oriented, Clean, Unidirectional and Scalable Architecture
    J.C.Ködel

    Mexer em uma coisa quebra outra? FOCUS Architecture é uma arquitetura opinativa, organizada por problema, não pela moda, para sistemas que crescem sem apodrecer.

  14. 算力、能源与人
    算力、能源与人
    智能变便宜之后,增长、投资与人的选择
    杨永飞

    AI 越便宜,真正稀缺的越不是答案,而是能源、组织、制度与可核验的判断。本书提供一套连接技术、经济、投资和个人学习的实用框架。

  15. What Your AI Cannot Prove
    What Your AI Cannot Prove
    Governing AI in Regulated Industries
    KnowlytiX

    Your pilot went well. That was never the question. In a regulated industry, an AI system is acceptable only when it can prove what it did: which source it used, what stopped it acting, why it decided as it did eleven months ago. A field guide for the executives who have to sign.