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What's New

Track meaningful updates to the book. This page is refreshed once a day from the latest changes to the book's content.

Latest Updates​

Updates are grouped by day and written automatically from the day's content changes, each linking to the lesson that changed.

2026-08-01​

2026-07-31​

  • Added Made, Not Generated, a new crash course on building websites with taste files, screenshots, and publish-then-review loops. (Made, Not Generated: A Website Design Crash Course)
  • Reworked the vertical-picking path with a 2026 Big Four reality check, and tied the SoR and thesis chapters to the same business-transformation warning. (Choosing Your Vertical)

2026-07-30​

  • Expanded The Roles This Book Trains with Kevin Bai's FDE 101, the do-I-need-an-FDE test, and the dev-shop warning, with the same shared-primitives idea echoed in the FDE AF Model. (The Roles This Book Trains)

2026-07-29​

  • Grew Local AI into Open Source LLMs: Your Laptop, Your Server/Cluster, the Cloud. The old local-model course is now Part 1, and two new parts follow it: serving the same model to fifty people at once with vLLM and drawing your own two throughput curves, then driving frontier open models like Kimi K3 and DeepSeek V4 Pro through OpenRouter and routing all three tiers from one config. The old link redirects here. (Open Source LLMs: Your Laptop, Your Server/Cluster, the Cloud)

2026-07-24​

2026-07-23​

  • Added Choosing Your Vertical, a guide to picking the profession your domain startup serves, with the screen, the eight tests, the four launch gates, and its own quiz and flashcards. (Choosing Your Vertical)
  • Added a teaching aid, a flashcard deck, and a quiz to The Forward Deployed Engineer Agent Factory Model. (The Forward Deployed Engineer Agent Factory Model)

2026-07-22​

2026-07-21​

2026-07-20​

2026-07-19​

  • Added Local AI: Agentic Coding on a Model You Run, a course on running a model on your own machine for free and offline, then pointing a coding agent at it. (Local AI: Agentic Coding on a Model You Run)
  • Expanded What AI Actually Is with new explanations of why the model is frozen, how large a context window really is, how chat history is replayed on every turn, and where Skills fit, plus a bigger flashcard deck. (What AI Actually Is: A Crash Course)
  • Corrected nine errors that were taught as fact and fixed quiz and companion drift across two dozen Part 4 Python chapters. (Part 4: Programming in the AI Era)
  • Defined the funnel pattern and added a worked quality-checklist example. (The Complete Feedback Loop)

2026-07-18​

2026-07-16​

  • Added six interactive simulations covering the in-session loop, goals, routines, the event-driven doorbell, the save-point spine, and one flagship walkthrough of a whole morning. (Loop Engineering: A Crash Course)
  • Added a section on dreaming, the separate loop that consolidates an agent's memory, along with its failure modes and new flashcards. (Loop Engineering: A Crash Course)

2026-07-15​

  • Clarified the Loop Engineering crash course with plainer guidance on background sessions, timers, scheduling, retries, and stopping loops, plus a cleaner orientation for the event-driven section. (Loop Engineering: A Crash Course)

2026-07-14​

2026-07-13​

2026-07-12​

2026-07-11​

2026-07-10​

2026-07-09​

2026-07-08​

  • Expanded Loop Engineering with a clearer four-layer mental model, four more practice projects, and three routine drills in the appendix. (Loop Engineering: A Crash Course)

2026-07-07​

  • Reframed the Agentic Coding crash course around trust-by-checking, added a verification loop section and a new maturity ladder, and expanded the quiz. (Claude Code and OpenCode: A Crash Course)
  • Clarified Loop Engineering by separating the inner loop from the outer loop and spelling out how the layers fit together. (Loop Engineering: A Crash Course)
  • Tightened The Agent Factory Thesis with first-party Claude Code evidence and a clearer line between invariants and implementation. (The Agent Factory Thesis)

2026-07-06​

2026-07-05​

  • Reworked the preface to frame the book around the line between people who build AI workers and people who get displaced by them. (Preface: The Right Side of the Line)
  • Expanded the loop engineering crash course with a clearer outer-loop vs inner-loop model and new diagrams for the six-part loop shape. (Loop Engineering: A Crash Course)

2026-07-04​

  • Expanded The Roles This Book Trains into a full map of the FDE market, including salary ranges, freelance work, interview prep, and a five-archetype view of the job. (The Roles This Book Trains)
  • Tied The Agent Factory Thesis more directly to the Forward Deployed Engineer path and the AI-Native Company Architect. (The Agent Factory Thesis)

2026-07-03​

2026-07-02​

2026-07-01​

2026-06-30​

2026-06-29​

2026-06-28​

2026-06-26​

  • Fixed the Getting Started course map so the engineer path now points to Course 17 for Build AI Agents and keeps the Digital FTE sequence aligned. (Getting Started: Crash Courses)

2026-06-25​

  • Reframed Personal Agent Harnesses as the shared step where readers build an owned persistent agent, with clearer OpenClaw and Hermes choices. (Personal Agent Harnesses)
  • Added a new Mode 1 path with a task-diagnosis lesson and a bridge from one-off solves to workers. (Mode 1 — Problem-Solving)
  • Added section overview pages for the General Agents and Mode 2 Manufacturing tracks, so each track now opens with a guided map. (General Agents, Mode 2 — Manufacturing)

About This Page​

This book is continuously updated. Instead of version numbers, we track changes here so you can see what's new since your last visit.

  • Each entry links to the specific lesson that changed
  • A short digest is written once a day from the latest content changes on main
  • Only changes to book content (not infrastructure) appear here

Tip: Bookmark this page to quickly check for updates.