Claude Code on a real repo · reviewed 2026-10-03
Use Claude Code’s native controls first. Then add only the boundary your workflow is actually missing.
Direct answer: Start with Claude Code's own trust, permission and sandbox controls. Define deterministic checks, keep candidate work reviewable, use Git as a source of truth for repository state, and decide explicitly when the exact candidate becomes accepted code. Add another layer only if a recurring acceptance or recovery problem remains.
1. Start with the native trust boundary
Claude Code already provides permission modes and OS-level filesystem/network sandboxing. Anthropic describes sandboxing as a way to reduce repeated prompts while keeping the agent inside enforced boundaries.
2. Keep secrets outside the readable project when possible
Workspace isolation can protect writes without necessarily preventing reads of every project file. Treat secrets, signing material and production credentials as a separate boundary rather than assuming a code workspace is a vault.
3. Define objective checks before acceptance
Choose tests, builds, lint, type checks, or project-specific validators that have machine-checkable outcomes. Passing them proves only the properties they cover.
4. Separate candidate work from accepted state
Branches, worktrees, CI and PR review are strong existing primitives. The important question is whether the exact candidate you reviewed and validated is the candidate that crosses into accepted state.
5. Decide how recovery is verified
Claude Code includes session continuation and rewind/checkpoint workflows. For high-value repository recovery, verify the resulting Git/file state separately so you know which state was actually restored.
When StateHinge would be relevant
Only if a real team still spends recurring senior time on accepted-state promotion, interrupted-run continuation, or proving recovery after native Claude Code + Git controls. External Claude Code integration is not yet a verified StateHinge marketing claim.
Primary sources
What this workflow does not guarantee
No combination of sandboxing, Git, tests and approvals guarantees bug-free code. The goal is bounded execution and explicit, verifiable state transitions.