Books built from real engineering work

6 books

• 

  AI Engineering

  Building Autonomous Coding Agents

  Design, Safety, and Local-First Operation of Unattended AI Development Systems

  Build agents that write code, fix tests, and commit changes while you sleep — safely, cheaply, and entirely on your own hardware.

  • 622 pages
  • PDF

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• 

  AI Engineering

  Agentic Coding Harnesses, Compared & Explained

  Master Claude Code, Aider, OpenCode, Goose, and Codex — Then Run Them Locally

  A vendor-neutral, mechanism-level field guide to operating and extending agentic coding harnesses.

  • 542 pages
  • PDF

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• 

  AI Engineering

  AI-Assisted Development

  Working With Coding Agents

  A working engineer's guide to building and maintaining production software with autonomous terminal coding agents.

  • 382 pages
  • PDF

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• 

  AI Engineering

  The Model Context Protocol (MCP) in Practice

  Building, Integrating, and Scaling Custom Tool Servers for AI Agents

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

  • 437 pages
  • PDF

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• 

  AI Engineering

  Orchestrating AI Agents

  Coordinating Claude Code, Codex, Local Models, and MCP with a Persistent Control Plane

  A practical guide to operating a fleet of AI coding agents through routing, memory, skills, MCP, guardrails, and a persistent control plane.

  • 286 pages
  • PDF

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• 

  AI Engineering

  Running Local LLMs on Your Own Hardware

  A Practical Guide to Private, Offline, and Self-Hosted Large Language Models

  A hands-on guide to downloading, running, serving, and maintaining open-weight LLMs on your own machine.

  • 492 pages
  • PDF

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