Agentic Engineering

Learn how large language models work instead of relying on black-box APIs. Building Large Language Models from Scratch takes you through training a Transformer model in PyTorch, from raw text to a working inference API, covering tokenization, attention, distributed training, and alignment along the way.

AI-collaboration interviews are not about prompting better. They are about controlling the process. Learn a four-step framework to ask better questions, write a clear spec, guide AI-assisted building, and prove correctness with independent review and tests.

Stop prompting your AI. Start engineering the loop. The best engineers no longer babysit agents — they design systems that discover work, verify it, and run while they sleep. Loop Engineering is the complete guide: goals, verification, memory, scheduling, and orchestration with Claude Code — plus four end-to-end builds. Wake up to finished work, not chat transcripts.

Unlock the full potential of Claude Fable 5 with a practical guide built for developers who are shipping real AI applications. From prompt engineering and agent orchestration to RAG, memory, safety, evaluation, and production deployment, this definitive reference delivers proven patterns, hands-on examples, and reusable templates to help you build reliable, scalable AI systems with confidence.

AI coding agents can move faster than Git’s staging-and-commit workflow.Juju-chu! shows how Jujutsu🐦‍⬛ gives you automatic commits, reliable undo, and a safer way to reshape messy AI-generated changes—while staying compatible with Git and GitHub. For developers who already use Git and want a calmer AI workflow.

A IA consegue escrever código mais rápido do que você consegue lê-lo, então, por que os projetos ainda saem dos trilhos? A resposta está na especificação. Este livro ensina o Spec-Driven Development na prática, construindo um aplicativo completo, ciclo a ciclo, com o Spec Kit. Pare de apenas enviar comandos e torcer para dar certo. Comece a entregar softwares que a IA realmente acerta.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

Enterprise Retrieval-Augmented Generation with C# is a practical guide to building production-ready AI applications in the modern .NET ecosystem. Learn how to design scalable, secure, and high-performance RAG systems through real-world C# examples, proven architectures and enterprise best practices.

Master DeepSeek V3 — one of the most capable AI models of its time.This practical guide teaches students, researchers, and professionals how to use DeepSeek V3 for learning, research, coding, content creation, automation, and productivity — with strong focus on prompt engineering and responsible AI usage.

Unlock the power of Llama 4 — the next generation of open-weight multimodal AI.This practical guide shows students, researchers, and professionals how to harness advanced AI tools for learning, research, teaching, and productivity. From generating study notes and research ideas to building educational chatbots and optimizing workflows, discover how Llama 4 can transform the way you work and learn

AI application development is moving fast, but building systems that actually work in production is still difficult. This guide shows you how to build, deploy and scale AI applications with Dify, covering visual workflows, RAG, AI agents, integrations, security and production operations. It's a practical, hands-on resource for turning prototypes into reliable real-world applications.

Rewiring Software Delivery shows technology leaders how to move beyond AI tool adoption and redesign the operating model for agentic engineering. It introduces practical ways to govern autonomous execution, strengthen intent, separate generation from validation, and build a delivery system that turns AI activity into durable business advantage.

The hardest part of building AI is not the model. It is everything around it. The Art of Harness Engineering is a practical guide to turning AI prototypes into reliable products. It covers testing, guardrails, observability and governance, giving you the tools to build AI systems people can trust and organizations can run with confidence.

Most developers use AI coding tools like better autocomplete. The 10x Developer's Cursor Playbook shows you how to use Cursor for agent workflows, refactoring, MCP integrations, collaboration and security so you can ship faster, write better code and get more out of AI.

Vibe coding makes it easier than ever to build software fast, but shipping a real product takes more than speed. Vibe Coding to Production shows how to turn AI-generated code into secure, reliable and scalable SaaS applications with practical advice, real-world examples and the engineering habits needed to build production-ready systems.