Bundles

Ready to go beyond AI-assisted coding? This 10-book bundle gives you the practical skills to master Claude Code, build intelligent AI agents, develop full-stack applications and automate complex engineering workflows. From your first steps to production-ready systems, discover how to turn AI into a powerful engineering partner and build software with greater confidence, precision and control.

Build Claude Code agents that survive production, then use the same evidence-first discipline to modernize legacy systems safely. This two-book bundle takes you from tools, MCP, evals, observability, and cost controls to characterization tests, golden masters, differential testing, cutover, and rollback.

Most developers reach for Python when they need GPU power, but Rust also can deliver the same acceleration with memory safety and zero runtime overhead. This bundle takes you from CUDA fundamentals through Rust-CUDA, cuda-oxide, and RustaCUDA all the way to GPU-accelerated machine learning, entirely in the Rust ecosystem.

Ready to go beyond basic AI coding? This three-book bundle takes you from mastering Claude Code to building production-ready full-stack applications and creating your own AI agents with the Claude Agent SDK. Packed with practical examples, hands-on projects and real development workflows, it gives you a clear path from your first AI-assisted coding session to deploying serious applications and agent systems in production.

Three essential guides. One complete toolkit for modern proxy and traffic infrastructure. Explore HAProxy, Envoy and NGINX from the fundamentals to advanced production operations, with practical examples covering performance, security, observability, cloud-native infrastructure and AI workloads. Whether you build, operate or troubleshoot production systems, this bundle gives you the knowledge to make these technologies work reliably at scale.

Two hands-on books on the infrastructure side of practical AI engineering: building secure Model Context Protocol tool servers, and running, serving, and maintaining open-weight language models on your own hardware.

Learn, Explore, and Build with 6 Essential Technology BooksA complete 6-book learning collection featuring clear explanations, practical examples, modern technologies, diagrams, and real-world applications—carefully designed for students, beginners, educators, and technology enthusiasts.

Four Books. One Professional Learning Journey.Move from better prompts to reliable, enterprise-ready AI workflows. The Generative AI Professional Series combines prompt engineering, hands-on learning, RAG, AI agents, evaluation, and context engineering into a practical learning journey. Build the knowledge, skills, and confidence to apply Generative AI effectively, responsibly, and with measurable real-world impact.

Master reliable generative AI and prompt engineering with two practical books that help you design safer workflows, write better prompts, and apply AI with confidence. Bundle video

Build AI appliances with kdeps and run them on Kubernetes.

Every book by Joel Bryan Juliano on Leanpub in one bundle: Kubernetes for All in every language, Distributed Systems in Go, the From Ruby to… series, AWS in Production, AI Appliances, Software Engineer, Emacs for Life and Day0.

Explore the world of cybersecurity from the inside out with 10 powerful books covering ethical hacking, exploit development, reverse engineering, malware analysis and AI-assisted security research. From breaking down memory corruption and web vulnerabilities to building your own security tools and uncovering how software really works, this bundle delivers the technical knowledge and hands-on insights to sharpen your skills and stay ahead of emerging threats.

Six practical books on engineering with AI coding agents and the infrastructure around them: agent-assisted development, harnesses, autonomous agents, multi-agent orchestration, MCP tool servers, and running language models on your own hardware.

Two practical books on AI-assisted software development: using a terminal coding agent safely in daily engineering work, and coordinating several AI coding agents as one governed system through routing, shared memory, MCP, and guardrails.