Architects reliable and context-efficient AI-native agent primitives using the PROSE framework.
PROSE Architect enables developers to design and audit AI-native application architectures based on the PROSE framework (Progressive Disclosure, Reduced Scope, Orchestrated Composition, Safety Boundaries, and Explicit Hierarchy). It provides structured guidance for building new agent-driven applications from scratch, refactoring legacy projects for AI compatibility, and auditing existing primitives to ensure they are reliable, composable, and context-aware. By enforcing modularity and specific hierarchy, it helps prevent common issues like token limit overflow and prompt degradation in complex AI workflows.
주요 기능
01Automated generation of .agent.md, .instructions.md, and .prompt.md files
02Context-aware analysis designed for large-scale codebases
03PROSE compliance auditing for existing agent primitives
0474 GitHub stars
05Brownfield conversion strategies for making legacy projects AI-native
06Greenfield architecture design from natural language requirements
사용 사례
01Designing a multi-agent system for a complex new software project
02Auditing agent-driven workflows for safety boundaries and reliability
03Refactoring monolithic prompts into modular, composable agent primitives
