Software Engineering

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.

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.

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.

System Design Workbook – Edição 2026 é uma obra que traduz, organiza e conecta os principais fundamentos da engenharia de sistemas distribuídos sob uma perspectiva prática, moderna e orientada à realidade de produção.

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.

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.

Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.