Best case: survival The son of one of New York's wealthiest families is snatched off the street and held hostage. His parents can't save him because this kidnapper isn't demanding money. Instead he quizzes his prisoner on the price others pay for his life of luxury. In this exam wrong answers are fatal. Worst case: death Detective Michael Bennett leads the investigation. With ten kids of his own he can't begin to understand what could lead someone to target anyone's children. As another st...

Stop building demos. Start building systems that survive real users.The gap between a working prototype and a production AI system is the hardest part of engineering with large language models, and it is the part most resources gloss over. This book fills that gap with battle-tested patterns for retrieval, fine-tuning, evaluation, and deployment that have survived contact with real users.Inside, you will learn:When to use retrieval versus fine-tuning, and how to do ...

Your autocomplete now reads your repository, plans a 6 file change, runs tests, and opens a pull request while you finish lunch. That shift from suggesting to doing is the largest change in how software gets built since open source, and it turned a $20 subscription into a decision about money, privacy, and safety you make every day.Most teams choose by accident, whatever a coworker mentioned, whatever demo impressed on social media. They pay $20 without knowing what it covers, get ...

You know the feeling. You push a branch after hours of focused work, confident the logic is sound, and minutes later a notification arrives. The build failed, not because of your logic, but because of a missing semicolon in a file you did not touch, a dependency that quietly shifted overnight, or a type mismatch the compiler suddenly decided was a hard error. You spend the next 45 minutes fixing something a machine could have resolved in seconds. Multiply that by every developer, every day...

AI agents do not just follow the rules you encode. They read context, reason about what is happening, propose actions, and sometimes take those actions for you. A developer can describe an infrastructure change in plain language and watch the agent produce Terraform and open a pull request. An on call engineer can wake to an alert and find that an agent has already assembled the timeline and drafted a postmortem. This book is about how to do that, day to day, across the full span of operat...

Stop fighting your AI coding assistant. Start commanding it. If you've typed a vague instruction into GitHub Copilot, Cursor AI, or Claude Code and gotten back generic, half-broken code, the problem isn't the tool; it's the prompt. This Codex prompt-engineering guide gives developers the exact language to turn AI coding assistants into a reliable productivity multiplier.Inside this prompt library, you will find 150 fully written, copy-and-adapt prompts for AI-assisted development, ...

Learning Python is more than adding a skill to your resume. It is the ability to automate tedious tasks, analyze data, and build things that only exist in your imagination. But most books fall into two traps: they are either syntax references or recipe books that leave you unable to build your own projects.This 5-in-1 volume combines a guided curriculum with practical projects. You will learn the language, build real applications, and develop the confidence to solve problems you ha...

Every organization that deploys artificial intelligence today faces the same uncomfortable truth. The systems they rely on are fundamentally opaque. Neural networks don't explain themselves, and language models don't come with warranties. The industry has raced to make AI more capable, but it has spent less time ensuring these systems are predictable, explainable, controllable, and properly governed. This book exists to close that gap.AI safety is not a single problem that can be s...

Every technical leader building AI systems today faces a question that seems simple but is anything but. Should you pay per token for API access to frontier models, or should you invest in hardware to run open source models on your own infrastructure? The technology industry has spent billions convincing developers that outsourcing intelligence is the smartest move. For many use cases, this holds true. But for a rapidly growing number of scenarios, the conventional wisdom is dangerously wr...

Learn Python by building five real projects. This is not another boring theory book where you memorize syntax for hours on end before building anything useful. Instead, you will create a personal journal, a quiz game, a task manager, a weather reporter, and a habit tracker web app, learning the language and its concepts as you go.Perfect for absolute beginners, this project-driven guide covers the fundamentals of programming, including variables, strings, conditionals, loops, and f...

Building Shopify apps has never been more accessible, especially with the power of AI.Develop Shopify Apps with Claude Code is a practical guide for developers, entrepreneurs, freelancers, and Shopify partners who want to create professional Shopify apps faster using Claude Code. Whether you are building your first private app, launching a public app on the Shopify App Store, or creating custom solutions for clients, this book provides a step-by-step roadmap for modern AI-assisted ...

Every technology adoption curve reaches a moment where the default choice stops being the obvious one. For years, AI meant one thing: you sent your data to a server somewhere, and the server sent back an answer. But that simplicity came with a price you may not have realized you were paying.This book helps you make intentional choices about AI deployment rather than default ones. You'll understand the real tradeoffs between privacy and capability, cost and convenience, and control ...