Ready to put Hermes Agent to work? This practical guide takes you from the basics to real-world automation, covering setup, architecture and workflows for research, writing, development and operations. Learn how Hermes works, how to configure it for reliable results and how to make it a useful part of your daily work.
MCP can transform the way you work with Claude Code. This practical guide takes you from the basics to production, showing you how to connect tools, build integrations, automate workflows and ship reliable, secure solutions you can use right away.
Build Model Context Protocol servers that go beyond demos. This hands-on guide walks you from the fundamentals to production deployment with practical examples in Python, TypeScript, Go, Rust and Java. Learn the patterns, tools and real-world practices needed to build secure, scalable MCP servers that are ready for enterprise AI.
In this 2nd edition, I'm going to be working with you on a single app called OrderDesk. We'll build its inventory, roles and secrets, and then we'll patch its servers, provision its cloud resources and deploy it to Kubernetes. Later, we'll watch it with Prometheus, heal it with Event-Driven Ansible and diagnose its failures with playbooks that collect evidence in seconds. Then, in the last few chapters, we'll start inviting AI agents through tools and MCP servers, while approvals and check mode make sure that everyone keeps control of the decisions. You don't need to be a pro programmer to follow along.
We'll start with nodes, relationships and Cypher, as it'll make everything else easier later on. Then, we design a schema, chunk documents, extract entities and add embeddings. Then, we'll mix vectors with structure, run graph algorithms, think about rules and ontologies, and connect AI agents through safe, traceable tools. We'll also keep the graph fresh, measured and recoverable, because if it's stale, users won't trust it.
Go from AI beginner to confident Claude Code user in just seven days. Learn to build software, automate tedious tasks and tackle complex projects with less effort. Whether you're a developer or simply curious about what AI can do, this practical guide shows you how to turn Claude Code into a powerful tool for getting more done.
Build a practical understanding of Model Context Protocol from the first local server to production operations. Visual explanations connect protocol contracts, hosts and clients, authorization, testing, reliability, observability, deployment, and recovery.
Build interactive apps inside Claude's conversations, from your first MCP tool to Claude's connector directory.
사내 LLM 게이트웨이를 설계하고 운영하는 실무서입니다. 키리스 인증과 6단계 RBAC, 토큰 쿼터·예산과 비용 통제, 엔터프라이즈 규모 MCP, 운영 런북까지 다룹니다. 영문판 The AI Gateway Playbook의 한국어판(PDF 75쪽)입니다.
A practitioner's playbook for building an in-house LLM gateway: keyless auth, six-tier RBAC, quotas and budgets, per-token cost control, MCP at enterprise scale, and the operations to run it all. About 32,000 words with diagrams, configs, and checklists.
Master AI/ML System Design with a Structured Interview FrameworkLearn how to approach complex ML system design interviews using a 20-step framework, architecture blueprints, real-world case studies, scalability strategies, data and model pipelines, deployment patterns, monitoring, and interview-ready templates.
The field manual for solo builders shipping products with autonomous AI agents. Real systems, real receipts, honest limits.
Build a complete TypeScript MCP App with a portable text fallback, accessible React dashboard, server-validated action, and tests at every boundary. Includes the tested companion project.
A vendor-neutral, mechanism-level field guide to operating and extending agentic coding harnesses (542 manuscript pages).
Build production-ready applications with TypeScript in the age of AI. Go beyond the basics to master type-safe development, modern full-stack architectures, LLMs, intelligent agents, tool calling and the Model Context Protocol. With practical, runnable examples throughout, this book shows you how to build, test, secure and deploy serious TypeScript AI systems.