agentic-design-patterns

Agentic design patterns are established architectural guidelines for AI agents that map directly to IDE runtime primitives to improve system safety, scalability, and reusability across projects.

To evaluate an existing AI agent architecture, check the agent or skill against specific detection rules applied from the reference pattern catalog. This process identifies architectural gaps and verifies alignment with established multi-agent design standards.

To apply multi-agent design patterns, read the full pattern catalog to understand reference architectures, check your new agent against detection rules, and wire the appropriate IDE primitives per target to align the runtime architecture.

You should map agentic patterns to IDE primitives when you need to transition abstract multi-agent architectures into concrete runtime implementations, ensuring your AI agent systems are safe, scalable, and reusable across different projects.

No specific multi-agent framework dependency is required. The architecture evaluation relies on reading a standard pattern catalog and applying detection rules to wire target IDE primitives directly into your existing environment.