Books

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.

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

Move beyond individual prompts and engineer the full information environment an AI model receives. Learn to design, test, measure, and govern context for reliable AI workflows.

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。

AI agents become truly powerful when they can reason, adapt and recover instead of following a fixed sequence of steps. This book shows you how to design intelligent agent systems with computational graphs, giving you the tools to build scalable, reliable applications that can handle real-world complexity with confidence.

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.

执行的成本趋近于零，判断的成本没有变。AI越强，判断力越值钱。

StackPilot shows how to use graph-grounded AI to plan and explain infrastructure changes while keeping authorization, execution, and accountability under deterministic and human control. It is a practical guide for building safer AI-assisted infrastructure operations—from typed intent and evidence retrieval to approval manifests, observation, and earned production authority.

Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.

AI-generated code can look flawless while hiding invented APIs, security gaps and subtle logic errors. This practical guide shows you how to build production-ready analyzers that catch what tests miss, from taint tracking and symbolic execution to custom rules for CI/CD and IDEs.

Building an impressive AI agent demo is easy. Running one in production—reliably, at scale, with governance—is where most enterprises get stuck. Agentic Orchestration shows how BPMN-based process orchestration governs AI agents at scale, drawing on real deployments across banking, telecom, and healthcare. Reasoning without orchestration is expensive chaos. This book shows the way out.

16 章手写一个 CLI Agent。从 Hello World 到 Skill 插件系统，只用 Python 标准库 + OpenAI SDK。每章附真实项目踩坑笔记——来自 git 提交历史的 bug、设计失误和凌晨调试的教训。读完你会理解 Agent 的底层运作方式，而非只是会用某个框架。

Your AI has not forgotten you. It simply cannot show you what it knows, let you correct it, take it with you, or act on it. This book fixes all four: plain files you own, an assistant with hands on them, rules it will not cross, and work that lands before you wake up. No code, no terminal.

Go beyond prompts and learn how to build AI systems that hold up in production. This book shows how to make context the foundation of reliable LLM applications, covering practical patterns, real trade-offs and proven engineering techniques with clear examples you can put to work right away.

El software cambió de puerta de entrada: ya no abrimos apps, le hablamos a un asistente. Aprende a construir para ese mundo —una app AI-native real con MCP, OAuth y LLMs— usando la IA como copiloto. De cero a producción.