Directory
Books
Reviewed resources in Books. 105 resources listed.
A long technical guide to AI agent memory: why stateless LLMs need it, the different memory architectures from vector stores to knowledge graphs, and how Cognee implements one as an open-source memory layer.
Samizdat
rare-books.vercel.appA free, curated shelf of rare internal memos, leaked handbooks, and out-of-print books from technology and business history, collected for builders to read or borrow.
AI as an Infrastructure
aaai.latere.aiA free, web-only book that explains AI systems, from raw compute to a deployed and governed behavior, design-first, for a software engineer who knows distributed systems but is new to machine learning.
The companion code repository for a Manning book on adapting open-weights language models, covering prompting and RAG, LoRA and QLoRA, full supervised fine-tuning, distillation and DPO/RLHF alignment on a single GPU.
Agents Integration Patterns
github.comA catalog of named integration patterns for multi-agent AI systems, written to give architects a shared vocabulary the way Enterprise Integration Patterns did for distributed systems.
Prompt Engineering for .NET Developers
leanpub.comA free ebook that teaches .NET developers to build production AI-powered applications in C#, pairing each chapter's markdown lesson with a runnable .NET project and unit tests, without Python or notebooks.
Mastering Retrieval-Augmented Generation
link.springer.comThe official source code accompanying the Apress book Mastering Retrieval-Augmented Generation by Ranajoy Bose.
ML for Java Minds
github.comA 34-chapter book for Java developers, built as a Jupyter Book static site, teaching machine learning through practicing local inference and fine-tuning of open-source GGUF models.
Prompt Engineering Design
github.comA set of personal notes and first principles for designing prompts, arguing prompts should behave like a programming language and that Python can serve as the prompt itself.
SQL Server 2025: Herkes İçin, Her Rol İçin
caglarozenc.comA free Turkish-language reference book on SQL Server 2025 covering vector search, DiskANN indexing, and the SQL MCP Server, with code examples tested against a real instance and role-based reading paths for 11 kinds of readers.
The companion code repository for the O'Reilly book Vector Databases: A Practical Introduction, with full working applications for its later chapters.
A Chinese-language open-source book for AI engineers and architects on building production multi-agent systems, covering tool calling, coordination, context engineering, safety, evaluation and delivery across ten chapters.
A Persian-language translation of the English book Prompt Engineering for Beginners by Mark J. Baars, introducing beginners to designing effective prompts for AI language models.
From Tin to Tokens
github.comA free textbook on building an LLM inference stack from scratch in Rust, covering the driver interface, attention kernels, a paged KV cache, a scheduler, multi-GPU collectives and a quantisation pipeline.
The complete sample code for a Japanese book on training and using local LLMs in Python, covering embedding a local model in an app, building a transformer from scratch, fine-tuning, multimodal generation and RAG.
AI System Design Interview Prep
github.comA production-focused guide for AI and machine-learning system design interviews, working through model selection, LLM gateways, caching, streaming, cost control and evaluation with decision tables and architecture diagrams rather than flashcards.
Mastering Agentic AI Systems — Supplementals
gsa.github.ioCompanion study material for a book preparing readers for the NVIDIA NCP-AAI agentic AI certification, with chapter text, quizzes, practice exams, slides, labs and mappings to several other AI certifications.
gptpmt
gptpmt.comA prompt engineering best-practices guidebook written for a general audience rather than as a technical reference, published as a free website in Chinese and English.
AI-History
github.comA 66-chapter narrative walk through ninety years of AI history, from Turing in 1936 to Blackwell in 2025, written for readers with no technical background as much as for engineers.
Engineering Playbook
devfloor9.github.ioA manual of practical engineering references covering AWS, Kubernetes and AI platforms, including EKS best practices, an agentic AI platform architecture guide, and infrastructure benchmark comparisons.
Claude Code Guide
claudecodeguide.devA practitioner's guide to Claude Code covering setup, CLAUDE.md, permissions, skills, hooks, sub-agents and MCP servers, with interactive terminal demos on every page.
Awesome AI Handbook
axiiom.ruA 52-file practical guide to AI covering running a first local model, retrieval-augmented generation, prompt engineering and building AI agents, organized from beginner to advanced.
A free, openly licensed engineering book and companion course on building and running large language model systems, covering tokenization, serving and fine-tuning models rather than only calling a hosted API.
noBS STATS Notebooks
nobsstats.comA companion set of computational notebooks, exercises and projects for the "No Bullshit Guide to Statistics" book, meant to be run in JupyterLab rather than only read.