How models, tools, and harnesses form an agent, with a bounded execution loop and practical extensions for context, permissions, recovery, evaluation, and coordination among agents.
How to build and maintain an enterprise design system: shared patterns, component APIs, tokens, themes, documentation, and upgrades across product teams.
A comprehensive architectural breakdown of core modern AI building blocks: LLMs, workflows, agents, tools, MCP, skills, plugins, multi-agent systems, orchestrators, hooks, guardrails, and harnesses.
A deep dive into the key techniques for performance optimization: how to measure with Core Web Vitals and DevTools. Performance optimization with tree shaking, code splitting, and dynamic import.