Software Engineering

Not just for mathematicians and detectives! Learn the basics of logic and its many applications, including advanced testing, constraint solving, function composition, and code proofs. Over 50 exercises and 20 sample programs are included. No prior math background required!

173 C++ interview questions. Junior to Senior. auto to C++26. Every question has follow-ups, code samples, and cross-references. A 100-day study plan with spaced repetition gets you through them all. A code-reading capstone sharpens your skills under pressure. Not just the answers — the reasoning that survives the follow-up questions.

Skip the black-box frameworks. Build a production-grade AI coding agent from scratch in pure Python - cloud or local, tested with pytest, all in a single file.

A best-selling book. The practitioner's guide to Claude Code in production. Thirty-one chapters covering the agent loop, tools, hooks, MCP, the Claude Agent SDK, permissions, multi-agent orchestration, evals, observability, and cost engineering. Includes a full walkthrough of Anthropic's financial services reference agents. Code from real production systems, not toy examples.

Linux is one of the best decisions you can make for your computer — but knowing where to start is the hard part. This guide walks you through everything: choosing a distribution, installing it, and using it confidently every day. It was written by Jay LaCroix of Learn Linux TV, for complete beginners. No prior experience required.

How to put AI agents in production without ending up in the news. A field guide to bounded AI autonomy, MCP security, and AgentSecOps.

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.

Your company's answers are already written down. This book builds the machine that finds them.

Most organisations are trying to fix the wrong things. This book names the dysfunctions they keep running into and explains, through Open Systems Theory, why they keep coming back.

The most important impact of AI on software development isn't that it writes code faster — it's that it changes what you can delegate. Agentic Programming is a practical roadmap for climbing the AI Fluency Ladder: from prompting to agentic workflows, verified execution, and ultimately autonomous software development.

A scenario-based study guide for the Claude Certified Architect Foundations (CCAR-F) exam. Learn to reason like an architect across all five domains, then prove it on two full practice exams.

Master SysML v2 from the ground up with a clear, practical guide that bridges theory and real engineering. Explore the language, its formal foundations and proven modeling techniques through hands-on examples and industry case studies across aerospace, robotics, medical devices, telecommunications and more.

With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?

The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING

Your organization does all the right things. They practice chaos engineering, GameDays, and load testing. They conduct incident reviews and operational readiness reviews. Yet the same types of incidents keep recurring. This book examines why resilience practices so often fail to build resilience, revealing the organizational dynamics that systematically transform learning mechanisms into compliance theater and what you can do to navigate them consciously.