Directory
Books
Reviewed resources in Books. 105 resources listed.
AI Engineering Playbook
karthikreddy-7.github.ioA structured, searchable learning path covering retrieval-augmented generation, embeddings, vector search, agents and Model Context Protocol, aimed at engineers who build with LLM APIs rather than train models.
A Chinese-language book on prompt engineering, covering prompt structure, chain-of-thought and multimodal prompting through to enterprise PromptOps, agent workflows and retrieval-augmented generation.
A Practical Approach to Retrieval Augmented Generation (RAG) Systems
mallahyari.github.ioAn ebook that gives a practical, hands-on approach to building retrieval-augmented generation systems.
agent-camp
aigccamp.comA Chinese-language interview-preparation knowledge base for AI agent engineering roles, organized around how interviews actually ask about LLM fundamentals, prompt and context engineering, RAG and tool use.
Domain-Specific-Small-Language-Models
github.comCompanion Colab notebooks for the Manning Publications book Domain-Specific Small Language Models, covering small-model training and optimization.
Principal AI Engineer Handbook
handbook.vinodspattar.inA reference handbook for engineers building production AI systems, covering reference architectures, runnable labs and interview material for a set of recurring AI-infrastructure problems.
How to Build an AI Product From Scratch
github.comA chapter-by-chapter playbook on turning an AI demo into a dependable product, using a single running example, an academic research assistant, to make model selection, evaluation and architecture decisions concrete.
Agent-Base
giraffe-tree.github.ioA Chinese-language, source-grounded research handbook that dissects seven coding-agent products, such as Claude Code, Codex, Gemini CLI and OpenCode, comparing their agent loops, context handling, tools, safety and multi-agent orchestration.
Audio AI Field Guide
github.comA bilingual, mental-model-first reference on audio machine learning, covering datasets, transformer architectures, speech recognition, text-to-speech, and production voice pipelines.
Vibe Coding: Zero to Hero
vibingcode.vercel.appAn open, community-maintained handbook covering AI-assisted software development from first steps through architecture, debugging, deployment, and production-ready systems.
LLM Inference Capacity Planning Handbook
github.comAn open handbook on capacity planning for LLM inference: given a fixed amount of GPU compute, how to calculate the request throughput a model can sustain and its P95 latency.
The code repository for a Packt book teaching design patterns for building production multi-agent GenAI systems, covering RAG, fine-tuning, LLMOps and the Agent-to-Agent protocol.
Build Your Own Coding Agent
github.comA hands-on book and Go codebase that teaches harness engineering by building a working terminal AI coding agent from scratch and experimenting with its providers, tools and permissions.
Agentic AI Book
github.comAn open-source book, written in Burmese for Myanmar developers, explaining agentic AI concepts such as tool calling, RAG, MCP, context engineering, and coding agents from a practical angle.
LLM Agents From Scratch
masfromscratch.comA companion code library for a Manning book that teaches how LLM agents and multi-agent systems work by building one from first principles, without relying on an existing framework.
OpenClaw Chinese Guide
clawfather.cnA community-maintained Chinese documentation and guide site for OpenClaw, an open-source, self-hostable personal AI agent, covering installation, chat channels, and configuration.
Building Practical AI Applications with LLMs
onlybook.co.krThe companion code for a Korean-language book on building practical LLM applications, covering transformer architecture, model training and serving, embeddings and retrieval-augmented generation with LlamaIndex.
Top 10 threats and mitigation for AI Agents
aicloudgovernance.comA documented top-ten list of security risks specific to autonomous AI agent systems, such as authorization hijacking, memory manipulation and multi-agent orchestration exploitation, with mitigation strategies for each.
RL Handbook
rl-handbook.comAn openly available handbook covering reinforcement learning from multi-armed bandits through modern policy-gradient and actor-critic methods, with runnable code examples for each chapter.
DeepSeek Harness Handbook
sandbaseai.github.ioA community-maintained field guide to running, debugging, and extending DeepSeek Harness, covering its runtime, plugins, MCP and ACP integration, sandboxing, and evaluation, with reviewed translations into several languages.
A vendor-neutral guide to designing, governing, and scaling multi-agent systems, covering building blocks, memory, inter-agent communication, observability, evaluation, security, and governance.
A bilingual Chinese and English edition of the book Agentic Design Patterns, keeping the original English text alongside added Chinese annotations, with high-resolution figures extracted from the source PDF.
Agent Design Patterns
github.comA reference implementation and bilingual documentation of 27 core agent-architecture patterns, each placed on a two-axis map of cognitive function against execution topology, as a companion to the book Designing AI Agents.
Companion code for a Chinese-language book that reimplements the core algorithms behind large language models from scratch, starting from linear regression and building up to the mechanisms behind ChatGPT.