agent-native-architecture

Agent-native architecture treats agents as first-class autonomous actors guided by atomic primitives and prompt-driven behaviors, establishing parity, granularity, and composability as core design principles for scalable systems.

Define atomic tools such as read_file, write_file, list_files, and bash, then craft a system prompt encoding parity and context-injection while using a unified orchestrator to manage prompt-driven loops.

Core principles include parity, granularity, composability, emergent capability, and continuous improvement over time, ensuring agents operate safely with dynamic context injection and shared workspace patterns.

Avoid anti-patterns by following defined evaluation criteria and a graduation path from primitives to domain tools, using explicit completion signals to ensure safe, scalable adoption of agent-native systems.

Shared workspace design provides a collaborative environment where agent-native architectures utilize dynamic context injection, allowing first-class agents to interact with atomic tools and prompt-driven behaviors safely.

Yes, a unified orchestrator manages prompt-driven loops and atomic tool execution, encoding parity and granularity principles while enabling dynamic context injection for first-class autonomous agents.