AI coding agents can move fast, but speed without clear intent creates expensive mistakes. This practical guide shows how Behavior-Driven Development turns specifications into a reliable contract between you and autonomous coding systems, helping agents build the right thing, catch problems earlier and produce software you can trust.
AI agents don’t fail because they forget everything. They fail because they remember badly. This book shows you how to engineer memory that stays accurate, efficient and useful over time. From SQLite and PostgreSQL to vector indexes and multi-agent systems, you’ll learn what it takes to build agents that can run for days without losing the plot.
AI coding agents can build, run and break things at machine speed. This book shows you how to contain them safely. From Linux isolation and microVMs to WebAssembly, threat modeling and incident response, you’ll learn how to design production-grade sandboxes that let autonomous agents execute code without putting your systems at risk.
Build Model Context Protocol servers that go beyond demos. This hands-on guide walks you from the fundamentals to production deployment with practical examples in Python, TypeScript, Go, Rust and Java. Learn the patterns, tools and real-world practices needed to build secure, scalable MCP servers that are ready for enterprise AI.
From your first line of code to advanced JavaScript, this book builds real understanding instead of memorization. Learn how the language works, why modern features exist, and how professionals use them every day. Covering ES2026 and upcoming additions like Temporal, it gives you the skills to write clean, confident production-ready code.
Build powerful AI agents that run entirely on your own hardware with Ollama. Learn practical patterns for RAG, multi-agent systems, security and deployment through clear explanations and production-ready code you can use right away. From first setup to reliable real-world applications, this book helps you build with confidence.
Great software is built through great reviews. This book shows you how to spot hidden bugs, improve design, strengthen security, and review AI-generated code with confidence. Packed with practical examples and proven techniques, it helps you write better software in a world where humans and AI build code together.
Build a strong foundation in data structures and algorithms with clear explanations and practical Python examples. From core concepts to advanced techniques, this guide helps you understand how efficient software is designed so you can write better code with confidence and solve real programming challenges.
Build a source-level debugger in Rust from the ground up while uncovering the operating system, CPU, and compiler mechanisms behind modern debugging. Through hands-on implementation, you'll learn how processes, memory, breakpoints, and DWARF debug information come together to make source-level debugging possible.
Learn Lua from your first script to advanced programming techniques with a practical, hands-on guide. Whether you are building games, scripting applications, or exploring embedded systems, this book gives you the knowledge to write clean, efficient Lua code with confidence.
AI can generate code in seconds, but shipping production-grade software requires far more than fast prompts. Vibe Engineering shows you how to work with AI coding assistants to build systems that are reliable, secure, and maintainable. Through practical examples and proven workflows, you will learn how to turn AI from a code generator into a trusted engineering partner.
Make ChatGPT, Perplexity, Claude and Google AI cite the sites you build. A code-first AEO/GEO guide for developers and agencies — with a production-tested Next.js boilerplate.
Build modern Android applications with Kotlin and Jetpack using practical, real-world development techniques. Learn how professional Android developers structure projects, manage UI and state, and create scalable, production-ready apps.
Linux is one of the best decisions you can make for your computer — but knowing where to start is the hard part. This guide walks you through everything: choosing a distribution, installing it, and using it confidently every day. It was written by Jay LaCroix of Learn Linux TV, for complete beginners. No prior experience required.
AI agents are moving from experiments into real production systems. This book shows experienced engineers how to design, deploy and operate reliable agent systems that can scale. From architecture and infrastructure to security, reliability and governance, it provides practical patterns and production-ready examples for building autonomous systems that work in the real world.