Artificial Intelligence

Your company's answers are already written down. This book builds the machine that finds them.

A hands-on guide to building with Claude Code, MCP, the Claude API, and the Agent SDK. From mental models to production architectures — everything an experienced developer needs to work agentically, not just use AI tools.

Practical, safe AI for people who actually run networks.

Building an AI agent demo takes a week. Getting it to production in an enterprise takes a year. This is the battle-tested guide to surviving that year ... covering the IAM policies, networking, data architecture, and cost engineering nobody warns you about.

The definitive guide to Cursor, the AI-native IDE used by half the Fortune 500. From tab completion to Agent Mode, from .cursorrules to Composer — 14 chapters covering everything developers need to master the IDE that thinks with you.

Master Claude Code from zero to production. Build a complete full-stack app across 18 chapters — learning CLAUDE.md, Plan Mode, Skills, Hooks, MCP servers, subagents, the Agent SDK, CI/CD, and security best practices along the way.

Your old computers can run your house. Building it is a hands-on way to learn to work with an AI.

Build reliable LLM applications from first prompt to production agent. AI Engineering Visualized uses memorable doodles, practical Python, RAG, evals, tool calling and safety patterns to help you ship AI systems that work on Monday.

AI can write code faster than you can read it—so why do projects still derail? The answer is the spec. This book teaches Spec-Driven Development hands-on, building a complete app one loop at a time with Spec Kit. Stop prompting and praying. Start shipping software AI actually gets right.

Stop Watching the Market. Start Coding It. 📈 Welcome to the era of "Quantamental" AI Trading. Volume 7 is your engineering manual for building professional-grade trading infrastructure. Bridge the gap between classical technical analysis and LLMs—designing systems that trade on both Math (price action) and News (sentiment). From vectorized backtesting to sentiment analysis with FinBERT, it’s time to engineer your edge.

Ihre Use Cases haben einen neuen Leser: einen KI-Agenten, der sie direkt in Code und Tests umwandelt. Die Implementierung ist mittlerweile kostengünstig, doch die präzise Formulierung der Absicht stellt den Engpass dar. Dieser Leitfaden vermittelt Ihnen, wie Sie Use Cases verfassen, die sowohl für Stakeholder und Ingenieure als auch für die KI-Agenten, die sie umsetzen, funktionieren.

45% of AI-generated code has vulnerabilities. This book covers prompt injection, data leakage, secure coding with AI tools, MCP server hardening, agent sandboxing, supply chain security, and OWASP LLM compliance. 14 chapters with attack demos and defense code.

In Deepseek AI, we delve into the transformative events of January 27, 2025, that reshaped our world. Discover how Deepseek's emergence has disrupted traditional capitalism, giving rise to Technofeudalism and igniting a new cold war.

In Deepseek AI, we delve into the transformative events of January 27, 2025, that reshaped our world. Discover how Deepseek's emergence has disrupted traditional capitalism, giving rise to Technofeudalism and igniting a new cold war.

In Deepseek AI, we delve into the transformative events of January 27, 2025, that reshaped our world. Discover how Deepseek's emergence has disrupted traditional capitalism, giving rise to Technofeudalism and igniting a new cold war.