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Make AI a practical part of your everyday workflow. Learn to use Claude to tackle coding tasks, automate repetitive work, explore ideas, and manage complex projects. Discover techniques for integrating AI into your development process while maintaining control over quality, security, and results. [Read more]

Turn ideas into software with clearer requirements and fewer costly surprises. Learn to use structured specifications to guide AI coding assistants, organize implementation, and validate results. Build a more reliable development workflow that keeps projects aligned with their goals from planning through delivery. [Read more]

Build AI agents that are more reliable, efficient, and easier to control. Explore reusable design patterns for handling reasoning, memory, tool use, and human oversight. Learn how to solve common agent challenges, reduce costs, and create production-ready systems that can adapt and improve. [Read more]

Understand the algorithms that power real-world software without getting lost in complex mathematics. Friendly discussions, relatable examples, and Python implementations introduce techniques for searching, scheduling, caching, optimization, and more. Build intuition for choosing the right algorithm to solve the problem at hand. [Read more]

Build the knowledge to recognize threats and protect digital systems. Explore core security principles, common attacks, risk management, cryptography, and access control through clear explanations and practical examples. Develop the skills to identify vulnerabilities, strengthen defenses, and make security-conscious decisions in an increasingly connected world. [Read more]

Write C++ software that is safer, more predictable, and easier to trust. Explore common memory errors, learn how to detect and prevent vulnerabilities, and discover practical techniques for improving reliability. With a focus on real-world systems and safety-critical development, gain the tools to build robust applications without sacrificing performance. [Read more]

Build reusable web components that work across frameworks without locking you into a single technology. Explore modern libraries such as Lit, Stencil, and FAST, alongside tools for testing, documentation, and development. Hands-on examples help you create flexible, maintainable UI components for today's web applications. [Read more]

Machines that Think

What it really means for AI to think

Do AI systems really think, or are they simply convincing imitators? Explore how large language models work, what machine reasoning means, and why AI can appear intelligent while still making mistakes. With accessible explanations of AI research, consciousness, hallucinations, and reinforcement learning, gain a clearer perspective on when to trust these systems—and when to question them. [Read more]