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Something intelligent is lurking in the shadows this Halloween... and it isn't (just) a ghost! From autonomous agents conjuring solutions to local LLMs right on your own laptop, modern AI is transforming software engineering. Unmask the secrets of artificial intelligence and brew up your next breakthrough with our Halloween half-price sale on all eBooks!
Build intelligent agents that go beyond answering questions to solve problems, use tools, and work together. Through hands-on Python examples, explore agent memory, reasoning, planning, and evaluation, then put your skills to work creating and deploying real-world AI systems. [Read more]
Great agents need more than powerful models—they need the right architecture. Explore 27 reusable design patterns for building reliable, cost-effective AI systems, from simple reasoning loops to sophisticated multi-agent workflows. Real-world examples show you how to turn promising prototypes into dependable production applications. [Read more]
9 chapters of this MEAP are available now, with more to follow soon!
What if your AI could get better without retraining its underlying model? Discover how to build adaptive agents that learn from feedback, refine their memory, and improve their own workflows. With practical examples, evaluation techniques, and production-ready safeguards, you'll learn to make improvement a continuous process. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Go beyond the frameworks and discover what makes an AI agent tick. Starting with a minimal working example, you'll build up the reasoning, planning, tool use, and evaluation capabilities that power practical agents. Gain the understanding you need to customize your own systems and confidently work with existing agent frameworks. [Read more]
Author unmasked! Zachary Huang Author of Crack Any Codebase with AI
This Halloween, we’re unmasking the authors behind amazing Manning books! We’re continuing this series of under-the-mask interviews with Zachary Huang, author of Crack Any Codebase with AI!
Zachary Huang is an AI researcher at Microsoft Research AI Frontiers where he works on large language model agents and systems. He holds a PhD in Computer Science from Columbia University and was a Google PhD Fellow.
What are you excited about right now in the tech world?
AI self-improvement. We're getting closer to AI systems that can improve their own code, training, and research processes. This could dramatically accelerate AI progress.
What are you afraid of right now?
AI is advancing faster than society can adapt. I'm concerned about how it will reshape jobs, education, and the economy, and whether we'll be ready for those changes.
Make one prediction.
AI will soon outperform humans at most intellectual tasks. The biggest bottleneck will shift from making AI smarter to making humans more capable with AI. Human intelligence augmentation will become one of the most important areas in tech.
Get AI coding agents to build what you actually intended. Learn to turn ideas into clear, structured specifications that guide development from initial design through testing and deployment. With hands-on projects and team-based exercises, discover a more predictable way to build software, reduce defects, and keep complex projects on track. [Read more]
4 chapters of this MEAP are available now, with more to follow soon!
Effective AI software development with Claude Code and Claude Cowork
Make AI a genuine part of your development team. Learn to use Claude for coding, architecture, documentation, testing, and parallel development, while keeping quality and decision-making firmly in your hands. Build practical workflows, create reusable skills, and discover how to scale your productivity across the software development lifecycle. [Read more]
6 chapters of this MEAP are available now, with more to follow soon!
Moving AI from pilot project to business-critical system takes more than clever automation. Discover how to design enterprise architectures that let AI agents make decisions safely, with clear boundaries, effective human oversight, and robust governance. Practical frameworks and industry case studies help you turn autonomous AI into a scalable business capability. [Read more]
6 chapters of this new MEAP are available now, with more to follow soon!
New project, unfamiliar language, sprawling legacy system? Use AI to get up to speed faster. Learn to map architectures, trace dependencies, uncover design decisions, and generate useful diagrams with practical prompts and repeatable workflows. Build the confidence to understand unfamiliar code, challenge AI-generated answers, and make changes you can trust. [Read more]
9 chapters of this MEAP are available now, with more to follow soon!
Discover what really happens inside the AI models transforming the world. Write the code for a GPT-style language model, prepare training data, implement attention mechanisms, and explore pre-training and fine-tuning. Step by step, you'll turn complex concepts into working code and build a deeper understanding of how modern generative AI works. [Read more]
Bigger models aren't always better for the job. Learn to customize open-source language models for specific tasks using fine-tuning, pruning, and knowledge distillation. With practical Python examples, you'll explore ways to reduce costs, improve performance, and build smaller, more efficient models that can run closer to where they're needed. [Read more]
11 chapters of this MEAP are available now, with more to follow soon!
Bring your creative ideas to life with AI-generated images you can create and customize yourself. Learn to write better prompts, work with Stable Diffusion, experiment with custom models, and fine-tune images to match your vision. From polished graphics to personalized styles, practical projects help you get impressive results without relying on paid image-generation services. [Read more]
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