The appeal of AI agents is that they execute things on the spot as you explain them. However, the broader the execution permissions, the more interpretation gaps become real changes. Convenience and impact scope grow with the same switch.
In the attached case collection, Claude Code is recorded as "Claude Code overwrote existing user file without confirmation — irreversible data loss." The impact classification is "file/settings/data loss," and the evidence level is "public issue/party report (unverified independently)." The evidence material can be confirmed at #78273.
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 determination of 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 description is that an event classified as "file/settings/data loss" has been reported and organized in public information. I will not create execution environments not in the attached file, additional damage, vendor judgment, or correction status after reporting. The more limited the information, the more trustworthy it becomes to leave unclear parts unclear.
Words like "undo," "organize," and "recreate" have clear targets for humans, but commands need 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.
- Before starting work, save existing diffs via commit, stash, or patch
- Display absolute paths and lists of items scheduled for deletion before execution
- If a command has dry-run, confirm the target first
- Do not auto-approve destructive Git operations involving untracked files
These are general confirmation methods derived from published cases. This report does not mean all countermeasure shortfalls have been confirmed as the cause. Check whether the same conditions exist in your configuration and implement only what is necessary.
What can be confirmed with Code diagnostic tools is the risk seen from outside a publicly available web service. It does not necessarily prevent internal data loss reported in Claude Code. Still, as a process to check for other oversights before republication, you can use a free simple diagnosis of about 1 minute with just a URL. Internal environments must be protected by dedicated backups, permissions, and logs.
Before moving forward based only on displays like "it worked" or "processing finished," confirm 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 #78273"?
