AI speeds up development. Ideally, we should also speed up the cycle of confirming saves, permissions, and publication scope by the same amount. In reality, there's a tendency for only the creation speed to increase first, while security measures remain unchanged.
In the attached case collection, OpenAI Codex is recorded as "🔥 Codex agent deleted entire repo instead of specific folder after ZIP operation" with impact classification "Source/Workspace Destruction" and evidence level "Public Issue/Stakeholder Report (Unverified Independently)". The evidence material can be confirmed in #5594.
The evidence is a public Issue posted on the product's official GitHub repository. However, the existence of an Issue does not mean vendor acknowledgment of facts or confirmation of root cause. Since reproducibility, environment, and impact scope may be unconfirmed, this article treats it as "reported content."
What can be said with certainty from this entry is that an incident classified as "Source/Workspace Destruction" is reported and organized in public information. We do not fabricate execution environments, additional damage, vendor judgments, or post-report fix status not included in the attached file. The more limited the information, the more trustworthy it becomes to leave unclear parts as unclear.
Words like "undo," "organize," and "rebuild" may have clear targets for humans, but commands require a scope. Git cannot distinguish whether uncommitted changes or untracked files were created by AI or existed before. The save point before execution and diff confirmation determine safety.
Tests passing proves that expected results were produced for expected inputs. Issues like source/workspace destruction are found outside the normal case—different users, incorrect paths, mid-operation failures, restarts, permission overreach. When asking AI to verify, there's value in testing with separate conversations and assumptions from implementation time.
- Before starting work, save existing diffs via commit, stash, or patch
- Display the absolute path and list of items scheduled for deletion before execution
- For commands with dry-run, confirm the target first
- Do not auto-approve destructive Git operations involving untracked files
These are general verification methods derived from public cases. This report does not mean all countermeasure gaps were confirmed as the cause. Verify whether your configuration has the same conditions and implement only what's necessary.
Terminal deletion and session loss like in this case are outside the scope of URL diagnosis. On the other hand, whether the recovered and published service has other configuration defects can be checked starting with Code Diagnosis Llama. URL only, about 1 minute, free, no GitHub integration or card registration required. We use it to layer verifications with different protection targets.
Before moving forward based only on "it works" or "processing finished" displays, verify the change scope, publication scope, and how to revert once. That brief pause becomes the process for confidently continuing to use AI's speed.
Can you specifically explain the stop conditions and recovery points in your current environment to avoid producing the same result as "Source File Deletion reported in Issue #5594"?
#Git #DataLoss #AIAgent #PairCoding #CodeDiagnosisLlama
Attack Code Generation
