"This much can be safely left to AI." In solo development, you make that judgment many times a day. You can't move forward if you doubt everything, but it's also dangerous to proceed without deciding on even one place to stop.
In the attached case collection, Claude Code is documented as "[BUG] Assistant text in the same response as an AskUserQuestion tool_use is never persisted to the session JSONL (silent data loss)". The impact classification is "Session/Development History Loss", and the evidence level is "Public Issue/Stakeholder Report (Unverified Independently)". The supporting material can be confirmed at #77410.
The basis is a public Issue posted to 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 scope of impact remain unconfirmed, this article treats it as "reported content".
What can be stated with certainty from this entry is that an event classified as "Session/Development History Loss" has been reported and documented in publicly available information. I will not fabricate execution environments, additional damage, vendor judgment, or post-report fix status that are not in the attached file. The more limited the information, the more trustworthy it becomes to leave the unknown parts unknown.
Conversation history and sessions contain development premises, decisions, and unrecorded specifications—not the code itself. What remains on screen and what is persisted to disk are different things. Important decisions should not be left only in chat; they need to be saved to repositories or documents.
Tests passing proves that expected inputs produced expected results. Problems like session/development history loss are found outside the happy path—in different users, wrong paths, mid-process failures, restarts, and permission overages. When asking AI to verify, it's worth testing with different conversations and assumptions than during implementation.
- Transfer important specifications and decisions to documents in the repository
- Test in small scale whether history can be restored after restart
- Confirm session storage location and backup targets
- Don't leave unsaved code only in conversation history
These are general verification methods derived from public cases. This report does not mean all preventive shortfalls have been confirmed as the cause. Check whether the same conditions exist in your own setup, and implement only what you need.
Misoperations on terminals, Git, and cloud internals each require prevention measures in their respective environments. Code Diagnosis Llama does not substitute for those; it's a tool to check a different type of risk that remains in web services after publication through a free ~1-minute simple diagnosis. URL input alone—no card or GitHub connection required. It can be used as an external check when you're in a hurry to republish.
Before moving forward based only on "it worked" or "processing finished" displays, check the scope of changes, publication scope, and how to revert once. That brief pause becomes the process that lets you confidently continue using AI's speed.
Can you specifically explain the stopping conditions and recovery points in your current environment to avoid producing the same result as Issue #77410, where conversation/development history loss was reported?
