Directory

Books

Reviewed resources in Books. 105 resources listed.

105 listings in Books

  • A set of installable rule and skill files for coding agents distilled from well-known software-engineering books on refactoring, architecture, and domain-driven design.

  • A Chinese translation and companion notebooks for the book "Hands-On Large Language Models," covering tokenization, embeddings, classification, RAG, and fine-tuning with runnable code.

  • A Chinese translation of the open-source "LLMs-from-scratch" book and code, teaching how to build, pretrain, and fine-tune a GPT-style language model from scratch.

  • Harness Books

    harness-books.agentway.dev

    Two books on harness engineering that examine the design philosophies behind Claude Code and Codex, covering constraints, query loops, context governance and multi-agent verification.

  • An open-source, community-written practical guide to using the WorkBuddy AI assistant, covering installation, real workflows, building custom skills and multi-agent team setups.

  • A twelve-chapter interactive textbook that teaches readers to build, train and run a modern transformer-based language model entirely from scratch, with every line of code explained.

  • The ChatGPT Orange Book

    codex.bozhouai.com

    An unofficial Chinese-language guide to using ChatGPT Work and Codex in real development and creative work, from installation through workflow and case studies.

  • The complete materials for the book Agentic Design Patterns by Antonio Gulli, covering 21 chapters and 7 appendices on building AI agent systems, with accompanying code notebooks for hands-on learning.

  • How Claude Code Works

    windy3f3f3f3f.github.io

    An independent, educational deep dive into Claude Code's internal architecture, based on analysis of a leaked source snapshot, covering its agent loop, context compression, streaming and safety design.

  • A Chinese translation of the book Build a Large Language Model (From Scratch), covering how GPT-style large language models are designed, trained and applied, together with its accompanying practice code.

  • A 15-chapter Chinese-language technical book that reverse-engineers Claude Code's architecture, covering its conversation loop, tool system, permission pipeline, memory, context management, sub-agents and MCP integration.

  • A community-written reference guide to Claude Code covering setup, configuration, commands, keyboard shortcuts, MCP integration, sub agents, skills, hooks, security settings and troubleshooting.

  • AIGC-Interview-Book

    wethinkin.github.io

    A Chinese-language interview-preparation resource for AIGC, LLM and AI Agent engineering roles, covering deep learning, computer vision, NLP, math fundamentals, coding practice and career-planning guidance.

  • A VIP cheatsheet summarizing Stanford's CME 295 course on Transformers and Large Language Models, covering self-attention, fine-tuning methods, distributed training and applications such as AI agents.

  • A glossary that explains AI-coding jargon in plain English, covering models, context windows, tool calls, failure modes such as hallucination, and patterns of working with coding agents.

  • LLM-RL-Visualized

    book.douban.com

    A collection of more than 100 original diagrams explaining large-language-model and reinforcement-learning algorithms, from model architecture through fine-tuning methods to policy-optimization algorithms.

  • An open-source book that derives LLM inference and training system design from hardware constraints and model architecture, with quantitative worked estimates and companion calculation tools.

  • A research report on AI agent source code, distributed as downloadable PDFs, alongside a small teaching project that demonstrates how a minimal Python agent's core loop, tool skills and CLI fit together.

  • A large, continuously updated guide connecting Claude Code's documented behavior to engineering decisions, covering agent harness design, security, and team adoption.

  • A Chinese-language textbook on large models and agents paired with six progressive programming exercises, from a hand-written Transformer through a coding agent.

  • The Astrid Contributor Handbook

    astrid-runtime.github.io

    A contributor's guide to working on the Astrid polyrepo, covering its public contracts, contribution tiers, RFC process and release workflow.

  • The Astrid Book

    github.com

    The canonical reference documentation for the Astrid runtime, covering its kernel, capsule model, host ABI, inter-process bus and security model.

  • A Chinese-language translation project for the book Agentic Design Patterns, covering 21 core design patterns for AI agent systems plus several appendices, published online and as PDF/EPUB downloads.

  • A personal, community-sourced collection of study notes and real interview questions about large language models, covering fundamentals, architecture, training, fine-tuning, inference, RLHF, retrieval-augmented generation and evaluation.