Direct answer
A coding agent sandbox report is a concise delivery review document for an AI coding run. It explains what happened in the sandbox, which files and commands were in scope, what evidence supports the result, and which risks still need a human decision.
Where it fits
- A product team wants a non-technical summary of an agent-generated diff.
- A security reviewer wants to see whether the agent crossed policy boundaries.
- A delivery lead needs one report per customer project or sprint.
Operational steps
- Start with the session summary and command transcript.
- Attach the git diff and test results from the same run.
- Generate product and security narratives from the diff.
- Export the report with retention settings matched to the client or project.
Common risks
- Reports can overstate confidence when they hide failed or missing tests.
- Technical diff summaries should not omit security-relevant file writes.
- Retention rules should be explicit for client data and regulated projects.
How SandboxReceipt AI helps
SandboxReceipt AI creates sandbox reports with command timelines, diff narratives, test proof, and client-level retention controls.
Ready to turn the next run into evidence?
Open the receipt preview, then use Team annual when your team needs PDF export and policy exceptions.
Open the receipt preview, then use Team annual when your team needs PDF export and policy exceptions.