Books

You don't have to be a programmer to learn from this book. This book asks nothing of you but your willingness to tell Claude what and how you think. I've written this for the professional who's been thinking, maybe quietly, that their real value wasn't in the busywork. You can automate anything that's between you and them.

Build smarter AI systems that go beyond the limits of large language models. Retrieval-Augmented Generation is a practical guide to designing, implementing, and scaling RAG applications with modern retrieval techniques, vector databases, and real-world deployment strategies.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

A hands-on guide to designing, building, testing, and deploying secure stdio and SSE MCP servers in Python and TypeScript (437 manuscript pages).

Your AI-generated code passes 18,000 tests and reports healthy — while entire data pipelines silently produce nothing. Silent Wiring names the failure mode nobody's tooling catches, and shows you how to find it before your users do.

AI-collaboration interviews are not about prompting better. They are about controlling the process. Learn a four-step framework to ask better questions, write a clear spec, guide AI-assisted building, and prove correctness with independent review and tests.

Stop prompting your AI. Start engineering the loop. The best engineers no longer babysit agents — they design systems that discover work, verify it, and run while they sleep. Loop Engineering is the complete guide: goals, verification, memory, scheduling, and orchestration with Claude Code — plus four end-to-end builds. Wake up to finished work, not chat transcripts.

Unlock the full potential of Claude Fable 5 with a practical guide built for developers who are shipping real AI applications. From prompt engineering and agent orchestration to RAG, memory, safety, evaluation, and production deployment, this definitive reference delivers proven patterns, hands-on examples, and reusable templates to help you build reliable, scalable AI systems with confidence.

OpenClaw in Production shows you how to run OpenClaw as a secure, reliable service that can handle real workloads. Whether you're deploying on a Raspberry Pi or operating a Kubernetes cluster, you'll learn the practical skills needed to keep your agents stable, secure, and easy to manage as they grow from a single instance to production at scale.

AI coding agents can move faster than Git’s staging-and-commit workflow.Juju-chu! shows how Jujutsu🐦‍⬛ gives you automatic commits, reliable undo, and a safer way to reshape messy AI-generated changes—while staying compatible with Git and GitHub. For developers who already use Git and want a calmer AI workflow.

A IA consegue escrever código mais rápido do que você consegue lê-lo, então, por que os projetos ainda saem dos trilhos? A resposta está na especificação. Este livro ensina o Spec-Driven Development na prática, construindo um aplicativo completo, ciclo a ciclo, com o Spec Kit. Pare de apenas enviar comandos e torcer para dar certo. Comece a entregar softwares que a IA realmente acerta.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

Enterprise Retrieval-Augmented Generation with C# is a practical guide to building production-ready AI applications in the modern .NET ecosystem. Learn how to design scalable, secure, and high-performance RAG systems through real-world C# examples, proven architectures and enterprise best practices.

Learn how modern LLM inference engines work by building one from scratch in Rust. From transformers and tokenization to KV caching, quantization, batching, and GPU optimization, this book combines theory, hands-on code, and performance engineering to help you create fast, production-ready AI systems.

Master DeepSeek V3 — one of the most capable AI models of its time.This practical guide teaches students, researchers, and professionals how to use DeepSeek V3 for learning, research, coding, content creation, automation, and productivity — with strong focus on prompt engineering and responsible AI usage.