Feature request: Add a standardized code audit module for modular codebases

Open 💬 2 comments Opened Jun 3, 2026 by Heyu2002

What variant of Codex are you using?

App,CLI

What feature would you like to see?

I have an idea for improving how Codex reads and generates code.

When Codex generates code or reads an existing codebase, it would be useful if it could also generate and maintain a standardized “code audit module” for each relevant module or subsystem. This audit module would summarize the structure, responsibilities, interfaces, dependencies, invariants, and important implementation details of the code.

The goal is that, the next time Codex needs to understand the project, it would not always need to reread a large amount of source code from scratch. Instead, it could first read the audit module to quickly understand the design and implementation of that part of the system.

This would be especially helpful for modular code design. Whenever Codex modifies existing code or generates new code, it should also update and maintain the corresponding audit module so that it stays accurate.

I think this could be a practical way for AI agents to fully understand modular codebases, because this is similar to how humans understand and work with code: we build a mental model of each module, its responsibilities, and how it interacts with the rest of the system. A standardized, maintained audit module could make that mental model explicit and reusable.

Additional information

This is just an idea. I understand that something similar could probably be implemented through skills, but I would prefer to see it explored as a standardized convention or built-in workflow. I see this as an experiment in making large modular codebases easier for AI agents to understand, maintain, and evolve over time.

View original on GitHub ↗

This issue has 2 comments on GitHub. Read the full discussion on GitHub ↗