Books

The engineer's guide to RAG systems that survive a deploy.

Learn Next.js by building a real AI-powered application, from project setup to production deployment. This book covers the complete journey: TypeScript, React, Next.js App Router, Prisma, authentication, the Vercel AI SDK (chat, RAG, tool calling), testing, security, and deployment. One project, 29 chapters, no toy demos.

Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.

Claude can write a chapter, a module, or a report section in minutes — that's exactly what makes long projects dangerous. Beyond Chat is a practical system for staying in control of long, complex work: how to define a project so it holds together, keep a memory that survives sessions, and know when things have quietly drifted off course.

A vendor-neutral, mechanism-level field guide to operating and extending agentic coding harnesses (538 manuscript pages).

Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

Monday morning. You typed "add multi-tenancy to the billing service" into Claude Code. Eight hours later: forty-three files touched. Half the tests yellow. You cannot explain to your tech lead what was decided, by whom, or against which constraint.The code looks fine. The intent is gone.The Clarity Forge is the antidote — a small, opinionated pipeline that forces every fuzzy idea through explicit spec, structured interrogation, and tailored artifacts before a single line of production code is written.Six stages. Six copy-paste prompts. One iron rule:The spec is the durable artifact. The code is the side effect.Pairs the frontier-grade Architect (Opus, GPT-5, Sonnet 4.6+) with a local Contractor (Gemma, Qwen). Pairs OpenSpec's directory convention with the Grill skills that surface ambiguity before it metastasises into code.A weekend read. A Monday-morning toolkit. Worked example included.Stop vibe-coding. Start clarity-trading.

It's never been easier to build an AI agent — and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems with the depth to predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.

What if TransE, ComplEx, RotatE and the rest of the knowledge graph “model zoo” were different views of one geometric operator? Learn the mathematics, code and practical design principles behind structured memory for trustworthy AI.

A best-selling book. The practitioner's guide to Claude Code in production. Thirty-one chapters covering the agent loop, tools, hooks, MCP, the Claude Agent SDK, permissions, multi-agent orchestration, evals, observability, and cost engineering. Includes a full walkthrough of Anthropic's financial services reference agents. Code from real production systems, not toy examples.

When code gets cheap, understanding gets expensive. The Code Is Lying follows a team of engineers as coding agents move the bottleneck from writing software to reviewing, verifying, and trusting it. Every chapter ends with field notes on the habits and checks that keep the practice honest.

Ant colonies, submarine wolfpacks, and StarCraft champions all cracked the same code: how to make distributed agents outperform centralized control. This tactical field guide translates their hard-won patterns into the SWARMS framework -- six interlocking capabilities for deploying agentic AI swarms that sense faster, strike harder, and adapt before your competitors know the game has changed.

Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

Stop treating AI like a deterministic compiler and wondering why your codebase is degrading into hallucinated spaghetti code. Agentic Software Engineering provides the architecture, constraints, and rigorous governance needed to safely transition your team from manual typists to AI Orchestrators.

A hands-on guide to downloading, running, serving, and maintaining open-weight LLMs on your own machine (489 manuscript pages).