Software

A practical people's guide to building AI agent businesses that deliver completed work, not just dashboards. Learn how to find high value workflows, build trusted agents, design control rooms, price outcomes, and move from copilot to controlled autopilot.

Go from your first Ansible playbook to enterprise-scale automation across hybrid clouds. This guide empowers sysadmins and DevOps pros with production-ready patterns for VMware, Kubernetes, and major cloud providers, helping you build secure, scalable infrastructure while avoiding common pitfalls.

Build a production-grade BitTorrent client in Python from the ground up while exploring the protocols, networking concepts, and engineering decisions behind one of the internet's most successful peer-to-peer systems. From peer discovery to data transfer, you'll implement every major component and gain a practical understanding of how BitTorrent works in the real world.

A working x86-64 kernel in 90 pages — bootloader, scheduler, FAT12 driver, window manager — all the way to a real PC.

Master IDA Pro 9.x with a practical, comprehensive guide to modern reverse engineering. From disassembly and decompilation to debugging, IDAPython, automation, malware analysis, and binary patching, this book equips you with the skills and workflows needed to analyze real-world binaries with confidence.

This practical guide shows you how to build production-ready speech recognition applications from the ground up. Learn how to use Voice Activity Detection, choose the right ASR models, build real-time inference pipelines, and deploy scalable systems with hands-on examples and modern open-source tools.

Every crypto channel pins the same frantic warning: the admins will never DM you first. This is the field guide to the scam economy behind that line — impersonated admins, deepfaked founders, pig-butchering, and entire synthetic communities — traced across three eras, from spam to crypto to AI, and the one question that ends it: who is in the room?

The value of a SaaS business is more than code and revenue. Domains, service accounts, social profiles, and infrastructure ownership matter too. A competitor claiming your brand on X is bad, but a malicious npm scope using your brand to ship harmful code to customers is far worse.

Python development has changed fast, and keeping up with new tools is a challenge. Modern Python Development in 2026 is a practical guide to package management, testing, code quality, performance, CI/CD and security, helping you choose the right tools and modern workflows for any Python project.

Software design is the last craft that never got standardized, so the same problem yields a different structure in every shop and every sprint. Process-First Design is the method for it: design around the process, not the entity, and the dozen small structural decisions you re-litigate every time become engineering, leaving your judgment for the architecture and the domain. One running example carries it from a single use case up to a multi-tenant platform.

A direct route from the basics to real-world Haskell. Master functions, types, and effects, structure real projects, and ship a working blog engine. Along the way, you learn design principles that make you a stronger engineer in any language.

In this practical and insightful guide, Mohammed Hamed Ahmed Soliman brings the proven principles of Lean to the world of software development. Whether you’re managing large-scale enterprise applications or agile startup teams, this book will show you how to eliminate waste, optimize flow, and deliver real customer value—faster.

Real-world advice for adding reliable tests to your Rails apps with the default tools (mostly), complete with expanded, exclusive content and a full sample application. Learn to test with confidence!

Deliver What Matters, When It Matters is a practical guide to delivery optimization for teams working in complex environments. Through real-world stories and actionable tools, it helps coaches, product managers, and delivery leaders close the gap between effort and impact.

Your first AI integration is usually simple: one provider, one SDK, one model. Then production happens. Costs rise. Rate limits appear. Teams need access control. Security wants API keys centralized. Product wants to test better models. Finance wants to know who is spending what. Suddenly, the real problem is not calling an LLM. The real problem is operating AI as shared infrastructure. The End of AI Vendor Lock-In shows how LiteLLM helps teams build provider-agnostic, resilient, cost-aware AI systems that can route across models, manage fallbacks, track spend, enforce budgets, and reduce dependency on any single provider. If you are building AI products that need to survive real-world production pressure, this book is for you.