safe-debug

Diagnoses deep learning failures and proposes minimal fixes while keeping code changes subject to explicit approval.

When to use it

Use for a concrete training or inference failure when the user wants diagnosis and minimal fix suggestions before code changes.

Give it a project and a failure symptom; it produces diagnosis, patch-plan, and status files without patching code unless explicitly approved.