Use case
Walk away. Come back to finished work. Long enough to finish the job.
Long AI tasks normally stall every few minutes on tool approvals. You lose the “walk away” experience the moment the AI needs your OK to run a test. Mstro’s Security Bouncer keeps the human out of the hot path, and a resilience layer above it (stall detection, adaptive per-tool watchdogs, checkpoint-and-retry, context-loss recovery) keeps multi-hour runs alive even when a single tool hangs or the model loses the thread. A 2-hour refactor actually finishes unattended. Safe enough to walk away. Specific enough to trust.
Who it’s for
Developers running multi-step AI refactors, migrations, and exploratory work.
How it works
- Start an agent tab with the task: “migrate this codebase from CommonJS to ESM, update tests, fix types.”
- Tool calls are auto-approved or adjudicated in milliseconds, so the run never blocks on you. The watchdog tracks each tool’s typical runtime and adapts; a hung Bash or WebFetch is killed and retried from a checkpoint instead of taking the whole session down.
- Close the laptop. The CLI keeps the session alive. The browser reconnects on any device when you’re back.
- Review the diff. Accept, iterate, or start a new variation.