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Go from AI beginner to confident Claude Code user in just seven days. Learn to build software, automate tedious tasks and tackle complex projects with less effort. Whether you're a developer or simply curious about what AI can do, this practical guide shows you how to turn Claude Code into a powerful tool for getting more done.
Vague prompts produce vague results. This book shows developers how to write clear, testable prompts for real coding tasks—explanations, functions, debugging, tests, and more—using a simple, repeatable method: state the goal, give the right context, set constraints, define the output, and verify the result.Written for beginners and working developers who want better AI-assisted work without treating model output as automatically correct.
Learn Claude through practical exercises in chat, files, Projects, research and Artifacts, with an optional introduction to Claude Code.
Run your business with a team of seven AI employees. Thirty minutes a day, and you stay the one who decides.
Use AI-assisted engineering from core concepts to secure production workflows. Visual explanations and a continuing FleetOps case study connect context design, coding, testing, delivery, operations, and bounded agents with practical verification and human accountability.
Meta Muse changes the way you work with AI. This practical guide shows you how to write better prompts, build reliable workflows, automate everyday tasks and avoid common mistakes. Whether you're new to agentic AI or already putting it to work, you'll learn how to get more done with less friction and more confidence.
What does it take to turn an AI agent from a clever demo into something you can trust in production? This hands-on guide uses DeepSeek Harness to show how to build reliable, secure and observable agents, from a simple script to a production-ready service with budgets, tracing, evals and multi-tenant support.
Find your next useful Claude prompt in a library of 1,000 templates across 20 domains. Customize clear instructions for writing, business, development, research and everyday work—with practical guidance for checking the results.
Get more from Gemini 4 Argon with practical prompting techniques that work on real-world tasks. This guide covers coding, research, legal and financial work, long-horizon workflows, optimization and prompt evaluation, with clear examples and strategies for getting reliable results from one of the most capable AI models available.
Get more from Claude Sonnet 5.5 with practical prompting techniques that actually work. This guide explores instruction design, effort control, tool use, structured outputs and agentic workflows, with clear distinctions between documented behavior and practical experience. Built for developers, prompt engineers and advanced users.
Go beyond basic prompting and learn how to get reliable, high-quality results from Claude Opus 5.5. This practical guide shows you how to structure instructions, manage context, break down complex work and verify outputs across coding, research, analysis, writing and automation.
GPT-6 Astra changes the way prompting works. This practical guide explains what makes it different, why old techniques can fail and how to write prompts that deliver reliable results. Learn how to build, refine and troubleshoot prompts while finding the right balance between control and autonomy.
Stop asking one giant prompt to carry your whole software system. Context Driven Development teaches you how to give AI coding agents explicit requirements, architecture decisions, constraints, tasks, and verification loops so they can work inside a reliable engineering environment.
Static code analysis is more than running a linter and fixing warnings. This book shows how to build practical analysis pipelines with Claude Code and deterministic tools, combining AI-driven insights with reliable checks to improve code quality and security across projects of any size.
A vendor-neutral, mechanism-level field guide to operating and extending agentic coding harnesses (542 manuscript pages).