permit-pulse

Project memory for LLM sessions is maintained by updating a living onboarding reference that documents architecture, tech stack, APIs, file layout, and feature status, ensuring future sessions don't relearn the codebase from scratch.

A project onboarding knowledge base is a single, up-to-date reference covering architecture, tech stack, APIs, and file layout that provides continuous context to accelerate integration for new contributors and AI agents.

To update onboarding documentation when features change, apply changes to the project memory reference whenever features are added, modified, or removed to keep all sessions aligned with the current architecture and tech stack.

Yes, you can use a project memory skill for hackathon onboarding by reading it at the start of every new session to quickly understand the project architecture, tech stack, APIs, file layout, and current feature status.

The best way to ensure consistent context for AI agents is to maintain a centralized project overview documenting architecture, tech stack, APIs, file layout, and current feature status, reducing time-to-productivity.

Your LLM forgets codebase architecture and file layout in new sessions because it lacks a persistent project memory; maintaining a living onboarding reference provides the necessary continuous context.