How Agent Skills and Model Context Protocol are converging to create composable, scalable AI agents that learn, adapt, and evolve their own capabilities.
Context engineering isn't just prompt tweaking—it's a deeply technical discipline that determines whether AI coding agents flounder or flourish in real-world codebases. Learn the principles and practices that separate productive AI workflows from expensive failures.
AI coding tools excel at greenfield projects but struggle with complex, legacy codebases. Learn the systematic approaches that transform AI from a prototype toy into a production workhorse for brownfield development.
Discover how Geoffrey Huntley's Ralph Wiggum technique uses infinite loops to generate production-ready code overnight, challenging everything we thought we knew about software development.
From prompt injection to shadow agents, explore the unique security challenges of AI agents and practical defense strategies for protecting production systems in 2025.
A technical deep dive into AI agent architectures, agentic patterns, real-world applications, and implementation best practices for engineers building production systems.
AI agents are moving from pilot projects to production systems. Understand what they are, where they deliver value, and what business leaders need to know before implementing them in 2025.
From zero to industry standard in eight months: How Model Context Protocol became the universal adapter that finally lets AI agents talk to your tools, data, and services—without rebuilding everything from scratch.