AI Agent Project Memory Setup for Microservice Repos
This prompt helps users set up a project memory system for AI agents working with large microservice repositories, improving navigation and context understanding.
prompt
To enhance the efficiency of an AI coding agent in a microservice repository, create a small `.dsp/` folder that acts as a structural index. Model the repo as a graph of entities, where each entity has the following text files: - `description`: details about the entity's location, purpose, and existence. - `imports`: a list of dependencies for the entity. - `shared/exports`: a reverse index detailing what is public, who uses it, and a short explanation for each consumer. Focus on including the 'why' for each dependency to understand the impact of changes. Start with the most frequently touched services and expand gradually to avoid overwhelming the system.
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