Effective AI software development with Claude Code and Claude Cowork
Claude’s suite of LLM tools and agents has permanently transformed software development. From code generation and spec execution to architecture, design, and testing, Claude acts as a highly productive partner.This book teaches you how to seamlessly step into your new role as AI agent manager, turning Claude’s tools and models into a full DevOps team and ensuring you stay in full control of the process. [Read more]
6 chapters of this MEAP are available now, with more to follow soon!
Close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Build AI agents that get better without retraining the underlying model. This hands-on guide shows how to create measurable improvement loops around prompts, memory, tools, code, and other parts of an agent’s harness. You’ll work with evaluation, search, versioning, drift detection, and reward-hacking safeguards to turn static agents into adaptive systems that can improve reliably in production. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
AI models “reason” by applying specific, reproducible patterns to break down tasks, solve multi-step problems, and produce complex documents, images, and code. In this book author Rick Giner examines these reasoning patterns and shows how you can apply them to make better decisions and work more effectively—even in tasks and interactions that do not involve AI. Learn to match the reasoning pattern to the task at hand and choose the most efficient architecture to get the results you want. [Read more]
7 chapters of this MEAP are available now, with more to follow soon!
Don't miss this practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step! Every aspect is uncovered through a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build reliable evaluation tools, improve reasoning through inference-time methods, then move into training-based approaches such as reinforcement learning and distillation. [Read more]
We’re excited to introduce a brand-new feature designed to help you retain more of what you read! liveBook chapters now end with a short recap: a quick conversation, by voice or by typing, where you explain what you just read in your own words. Our new AI tutor listens, asks a follow-up or two, confirms what you got right, and clears up anything you got wrong before you move on.
Putting an idea into your own words is one of the most reliable ways to make it stick, and this will let you turn it into a seamless habit as you read. Try it out during your next reading session in liveBook!
Crafted for learners already familiar with core Python concepts, this course serves as the introductory step to Randall’s Python for Professionals series. Through engaging, practical exercises, participants will solidify their knowledge of Python keywords while gaining hands-on practice in constructing classes, configuring packages and paths, architecting frameworks, handling exceptions, and delving into advanced topics within Modern Python. [Read more]
With this video, you'll learn the essentials of SQL to perform core CRUD operations—creating, reading, updating, and deleting records—with ease. Master key concepts and versatile SQL statements that apply seamlessly across standard database systems. Finally, explore SQLite 3, Python's built-in database solution, and get hands-on experience setting up the SQLite console to build tables, manage data, and write database scripts in Python! [Read more]
Discover a smarter way to write Python. Learn functional programming techniques, explore modern language features, and build practical skills through command-line tools, regression tests, and cross-platform automation. Ideal for beginners ready to start coding with confidence. [Read more]
Make your applications work together. Explore how Python enables programs to exchange data, launch processes, and automate workflows across platforms. Using pure Python without third-party dependencies, you'll gain practical techniques for software integration, testing, and DevOps. [Read more]
Turn raw data into searchable, well-organized information. Learn to create file-based indexes, work with common data formats, and manage your own datasets using Python—without relying on third-party databases. A practical introduction to efficient data storage and retrieval. [Read more]
boundaries you’ve put in place. Next, explore repeatable testing recipes you can apply to verify artifacts’ behavior, and watch the patterns you’ve already learned snap together into a single, cohesive implementation as you build a complete use case from the domain core outward. Then, see the changes that happen once hexagons are talking to each other and the choices you’ll need to make as a result.
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