Ce Agent Native Architecture

Agent-native architecture treats agents as first-class citizens of your application. Instead of writing code for every feature, an agent with tools works in a loop to achieve outcomes. This design powers apps far beyond coding, just like Claude Code.

Five core principles guide this approach. Parity means the agent can do everything the user can do in the UI. Granularity makes tools atomic and features defined by prompts. Composability lets you add new features by writing new prompts, not new code. Emergent capability means the agent can accomplish tasks you never designed for. Finally, improvement over time happens through accumulated context and better prompts, without shipping new code.

This skill helps you plan, design, and build agent-native systems. It covers tools, execution patterns, system prompts, testing, and more. Anyone building autonomous agents or self-modifying apps will benefit from these patterns.