Effective AI software development with Claude Code and Claude Cowork
Turn AI into a powerful partner across your software development lifecycle. Learn to use Claude Code and Claude Cowork to design architectures, write specifications, automate testing, and coordinate parallel development. Through hands-on projects, discover how to build custom agents, streamline everyday workflows, and boost productivity while keeping quality and control firmly in your hands. [Read more]
6 chapters of this MEAP are available now, with more to follow soon!
What if your AI agents could get better without retraining their underlying models? Discover how to build adaptive systems that improve through changes to memory, context, tools, and workflows. Learn to measure progress, track changes, and create auditable improvement loops that help agents become more capable in production. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Get AI coding agents to build what you actually intended. Learn to turn requirements into structured specifications that guide implementation, testing, and delivery. Through a practical project that grows in complexity, discover how to manage changing requirements, coordinate development across teams, and keep software aligned with its goals from the first plan to production. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Make better decisions by understanding how reasoning works. Explore five reasoning patterns inspired by AI research and learn when to use each to solve problems, challenge assumptions, and explore alternatives. Practical techniques help you structure conversations, improve collaboration, and turn complex decisions into clear, actionable outcomes. [Read more]
7 chapters of this MEAP are available now, with more to follow soon!
Making architecture and technology choices that last
Make confident technology choices without getting lost in endless debates. Learn to evaluate alternatives, weigh costs and risks, compare build-versus-buy options, and align technical decisions with business goals. A practical framework helps engineers and leaders navigate uncertainty, manage disagreements, and make choices that stand the test of time. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
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Bestseller! This rockstar book takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. [Read more]
Build practical, production-ready AI agents by showing how the major pieces of an agentic system fit together in real applications. Rather than treating agents as magical wrappers around LLMs, author Micheal Lanham breaks them down into concrete engineering layers: persona, tools, reasoning and planning, knowledge and memory, evaluation and feedback, deployment, and orchestration. [Read more]
Need a fast, reliable SQL-compliant RDBMS? Just use Postgres! Need to work with geospatial data? Just use Postgres! Handling semi- or non-structured documents? Just use Postgres! Generative AI embeddings? You’ve got it—just use Postgres! Written for software engineers and database pros, this book shows you how to get the most out of the powerful PostgresSQL database. [Read more]
For programs that need to be small, fast, and reliable, C is the gold standard. Whether you’re writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23. [Read more]
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