Books

Olvídate de los frameworks de caja negra. Construye un agente de programación de IA de nivel profesional desde cero en Python puro — en la nube o local, probado con pytest, todo en un solo archivo.

ブラックボックスのフレームワークは不要。純粋なPythonでプロダクションレベルのAIコーディングエージェントをゼロから構築。クラウドでもローカルでも、pytestでテスト済み、すべて1つのファイルに収まります。

Side effects are the enemy. A distillation of seven years consulting 100+ teams and eight years building a product through multiple pivots without a single rewrite. Five building blocks, two perspectives, zero dogma.

Building an AI agent demo takes a week. Getting it to production in an enterprise takes a year. This is the battle-tested guide to surviving that year ... covering the IAM policies, networking, data architecture, and cost engineering nobody warns you about.

The fastest practical path to understanding harness-driven development as a complete system. Through clear visual diagrams and a real repository mapped to the book, you will see how a harness guides AI agents, evaluates their work, detects drift, enforces constraints, supports repair, and keeps software evolution visible, verifiable, and under control.

A 1986 text adventure game written inside the Cray I/O Subsystem turns out to be architecturally isomorphic to modern transformer design. This capstone volume uses the playable game and its assembly language source as a case study in constraint-based design, including the bare metal thinking we stopped teaching around 1995.

Missed deadlines, defects, technical debt, rework, and rising costs are usually treated as separate problems. The Gap shows what connects them and why the usual remedies only go so far.

You already know AI exists. You know it could save you time. But how do you actually bring it into your daily Business Central work — writing AL code, debugging, building integrations with Azure OpenAI, or preparing documentation for a client?This book shows you exactly how.

Don't waste your time to learn how to code. That's what AI is here for. This book focuses on the far more profound question: What to code? This is the new meta skill between now and 2030!

Víš, že AI existuje. Víš, že by ti mohla ušetřit čas. Ale jak ji skutečně zapojit do každodenní práce s Business Central — do psaní AL kódu, ladění chyb, tvorby dokumentace nebo integrace s Azure OpenAI?Tato kniha ti ukáže jak.

Stop building dashboards. Start building outcomes. A guide to designing "Invisible Engines" and agentic systems for a world tired of software.

The draft ones were never sent. The post-mortems never said what really happened. The meetings never heard what you actually thought. This is the book that does.

Troubleshooting Linux systems can feel like solving a mystery—but the right strategies make all the difference. This ebook teaches practical techniques, tools, and real-world approaches that help you diagnose problems faster and fix them with confidence.

Across 30 chapters, you'll trace real code paths through nearly 400 CAS modules, learning the architecture decisions, design patterns, and implementation techniques that hold this massive system together. Whether you're a CAS contributor trying to fix a tricky bug, an architect evaluating CAS for your organization, or a Java developer who wants to study a mature, real-world Spring Boot application at scale — this book gives you the map. Written by a long-time CAS committer who has been involved since the original CAS 3.0 architecture, this book distills years of hard-won knowledge into a single, code-level reference.

Fix software delivery problems by addressing their real causes, not the symptoms. Divided into concise, standalone executive briefs you can use immediately.