Stop selling hours and start owning systems that compound. This technical field manual provides eight executable "money identities" to help you graduate from trading time for dollars into designing AI-powered systems that generate "Agentic Wealth".
Stop letting your database dictate your business logic. This hands-on guide shows .NET developers how to combine Clean Architecture, Onion principles, DDD and Command Query Separation into a four-layer structure — with a dedicated Facade contract that keeps your domain protected, your tests fast, and your infrastructure replaceable. Real C# code from entity to controller, no theory without practice.
A practical, no-fluff guide to writing clear, complete, and business-aligned User Stories that eliminate confusion and rework. Learn proven templates, checklists, and Acceptance Criteria techniques you can apply immediately in real projects. Now with AI Prompt Cards! Elevate your performance, gain credibility, and transform how your team delivers—starting today.

A humorous fable for IT professionals exhausted by urgency theater
A practical field guide for using AI assistants at work—and engineering them in production. Learn the standards that prevent “sounds right, wrong” outputs: specs, grounding, tools, evals, guardrails, and cost control.
Experience the fundamentals behind the magic of Generative AI then practice them with videos, interactive labs, exercises, flashcards, and an exam app to build outputs you can trust.
Want to write a technical book? Approach it the same way you build software!
Stop treating PostgreSQL like slightly broken MySQL and start using it the way it was designed.

Ready to explore AI but don’t know where to start?This book gives you 40 fun, practical, and totally beginner-friendly projects no coding, no tech jargon, just pure discovery. Your AI journey starts here.
Building generative AI application is not only about LLM choice and prompt engineering, but also about the well-architected cloud solution.
AI is reshaping industries and products. This book helps Product Managers understand how to use AI tools to plan, design, and deliver great products. It explains the AI stack and strategic frameworks for integrating AI features into products; how to use GenAI to perform customer discovery, market research, and prototypings; and how the Product Development Life Cycle and the Model Development Life Cycle intersect when creating AI-driven products.
Learn Generative AI the way software professionals think: as probabilities, algorithms, and systems—not magic. From foundations to RAG, agents, and MLOps, with math always optional but available.
Stop believing the myths. Start using AI effectively. This book reveals what AI actually is, what it can really do today, and how to integrate it into your work through practical, proven techniques.