Software Engineering

A practical handbook for building deterministic, auditable AI pipelines with safety gates, capability profiles, audit trails, telemetry and production deployment patterns.

Learn how to build Kubernetes Operators from scratch using Kubebuilder, step by step. You will create real controllers, work with CRDs, and understand how reconciliation works in practice. By the end, you’ll know how to design, test, and run your custom operator.

跳过黑箱框架。用纯 Python 从零构建生产级 AI 编程智能体——云端或本地，用 pytest 测试，全部在一个文件中完成。

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.

The best compliment a reader can pay your code is not "this is impressive" — it is "this was exactly what I expected." Beautiful but Boring teaches the discipline of writing Python that earns that compliment: precise naming contracts, type annotations that say what a function actually requires, and a framework for maintaining those standards consistently across a codebase, a team, and a career.

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.

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.

AI is an amplifier. It magnifies whatever engineering discipline — or lack of it — already exists, which means the bottleneck was never AI's capability; it is the collaboration space you design around it. This book is a six-level progression from early AI panic to sovereign engineering: the discipline of designing the environment in which human and artificial intelligence produce work worth keeping. It moves past prompting into the practices that compound — verification, habitat engineering, specification-first development, and the platform discipline that scales the practice across teams. The habitat is yours to design. Let's build it well.

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.

Every post-mortem starts the same way: "We didn't see it coming." This book argues that's no longer acceptable — and shows you the science behind predicting deployment risk before it becomes an incident.

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.