Directory
Books
Reviewed resources in Books. 105 resources listed.
Paper Rebuttal Tips
github.comPaper Rebuttal Tips is a Chinese-language guide for writing rebuttals to peer-review comments at AI and machine-learning conferences, organized as reviewer-question, weak-answer, recommended-answer and key-point entries.
Agent Systems Handbook by Prompthon
labs.prompthon.ioA field guide to building and operating production AI-agent systems, covering agentic workflows, memory, context engineering, MCP and A2A interoperability, evaluation and multi-agent architecture.
Strix Halo Guide: AMD Ryzen AI MAX+ 395 Local LLM Setup & Benchmarks
strixhaloguide.comAn independent, evidence-backed guide to running large language models locally on AMD Strix Halo (Ryzen AI MAX+ 395) hardware, covering BIOS setup, Ollama, llama.cpp, ROCm and cross-vendor benchmarks.
OpenCode Primer
github.comA community-maintained guide to OpenCode, the open-source terminal AI coding agent, covering setup, custom commands, skills, plugins, MCP integrations, and headless CI use.
A personal, gradually published knowledge base of advanced DevOps, Linux, cloud, big-data and security tips, tricks, debugging notes and fixes, accumulated over 20 years of consulting work.
OpenClaw Optimization Guide
github.comA living guide to making an OpenClaw AI agent faster, cheaper, and more reliable in production, covering cost visibility, provider failover, fast mode, prompt-cache retention, and memory and context management.
An in-progress Chinese-language technical book about industrial recommendation-system architecture and algorithms, covering the pipeline from recall through ranking, mixing and generative recommendation, for engineers with a machine-learning background.
Extending DeerFlow: Theory, Architecture and Source Code Analysis
hawkli-1994.github.ioA Chinese-language technical book that explains the DeerFlow 2.0 agent framework's architecture and source code in depth, aimed at developers who want to extend or customize it.
LLM Agents Ecosystem Handbook
github.comA practical, opinionated handbook for building, evaluating, securing and shipping LLM agent systems, with templates, provider adapters, a skills catalog, coding-agent workflows and a curated catalog of existing agent projects.
Learn AI Agents from Scratch
haozhe-xing.github.ioA bilingual, engineering-first online textbook covering LLM agent fundamentals, tool use, memory, planning, retrieval-augmented generation, multi-agent systems, agentic reinforcement learning, evaluation, security and deployment.
OpenAI Codex: The Complete Guide
huasheng.aiOpenAI Codex: The Complete Guide is a book, available in English and Chinese, covering all forms of OpenAI Codex (CLI, desktop app, cloud, IDE extension and Chrome extension) from installation through shipping products.
Illustrated-Agent-Skills
github.comIllustrated-Agent-Skills is the companion resource repository for a Chinese book about using AI agent skills productively, containing the book's appendices, full writing-workflow skills, chapter example code and data, and the skills used to generate the book's own illustrations.
dsh-handbook
github.comA 15-chapter Chinese and English handbook for DeepSeek Harness (dsh), covering installation, plugin development, performance tuning and a comparison of several coding-agent runtimes.
A book on neural networks and large language models for natural language processing, covering machine learning foundations through pre-training, generation, prompting, alignment, inference and reasoning.
llm_note
github.comA collection of Chinese-language notes on LLM inference, transformer model structure and framework internals, covering quantization, attention optimizations, CUDA and Triton kernel programming.
Coding for Economists
aeturrell.github.ioThe source and build pipeline behind the online book Coding for Economists, which teaches programming and data-science techniques to an economics audience.
A first-hand, independently written guide to DeepSeek's open-source Harness agent framework, covering its system prompt, startup plugin list, real session logs, and a walk-through of using it after Claude Code or Codex.
cheat-sheet
ljeng.github.ioA reference knowledge base for software and research engineers, covering algorithms, data structures, system design, operating systems and the mathematics behind them.
How To Scale Your Model
jax-ml.github.ioA short, blog-style textbook from Google DeepMind researchers that explains how TPUs work, how large language models run at scale, and how to choose parallelism strategies that avoid communication bottlenecks.
A short, freely available introduction to reinforcement learning, from the basics through applied algorithms, with a PyTorch implementation of each algorithm covered and supplementary proofs for the dynamic-programming material.
Claude-Code-Source-Study
github.comA 34-chapter, file-by-file and line-by-line technical analysis of Claude Code's source code, covering its prompt engineering, multi-agent orchestration, tool system and security model.
Foundations of Medical LLMs
github.comA Chinese-language, monthly-updated textbook on medical large language models, covering foundational LLM technique through vertical training for healthcare, clinical applications, and the field's ethical and safety challenges.
AI Agents - The Definitive Guide
oreilly.comThe companion code repository for the book AI Agents: The Definitive Guide, with runnable Jupyter notebooks organized by chapter covering agent architectures, planning and reasoning, memory, evaluation, security and production deployment.
The Complete Claude Code CLI Guide
github.comA reference guide to Claude Code covering commands, MCP setup, hooks, skills, and the SDK, automatically refreshed from official documentation every two days.