add-agent

To integrate a new AI agent into the openshell-image-builder, follow a standardized checklist covering Agent trait implementation, module registration, unit and integration testing, and documentation updates to ensure architectural compliance for sandbox image builds.

Implementing the Agent trait for a Rust coding agent requires defining the required file structures, completing trait implementations, and registering the new agent module within the openshell-image-builder environment to maintain codebase consistency.

Testing a newly added AI agent in an openshell environment involves executing mandatory unit testing and integration testing steps to validate module registration and ensure system integrity before documentation.

Yes, adding a new agent requires documentation updates as part of the end-to-end checklist to ensure all new agents meet the necessary architectural standards for sandbox image builds.

The best way to ensure new AI agents meet architectural standards in Rust builds is to use a structured development workflow that mandates trait implementation, registration, testing, and documentation updates.

A standardized checklist is needed to add coding agents to a Rust codebase to prevent integration errors and maintain system integrity across file structures, trait implementations, and module registration.