Review in your editor.
Inspect the finding, its context and the proposed change. Stay in control of what is applied.
Set up the IDE ↗THE INTERACTIVE ARKO WORKSPACE
Explore the work.
Inspect the outcome.
One fictional AI feature. Five findings. The complete loop from organisation context to reviewed change.
arkoINTERACTIVE WORKSPACECODING BRIEF
Add an AI assistant that can look up a customer’s orders. Follow our approved services, protect credentials and keep the request bounded.
TypeScript · synthetic sourceReady to review
THE AGENT LOOP
The coding agent proposes the change. ARKO supplies the independent check. Follow the same findings across both views.
ORGANISATION VIEW
The local change, policy and recheck belong to the same record. This view updates as you use the demo.
REPOSITORYAI customer workspaceAll 4 example files
POLICYEngineering baselineSecrets · services · request limits
CHECKED REVISIONNot checkedAwaiting example scan
Decision history
Synthetic sessionPolicies & approved patterns ↓↑ Findings, changes & rechecks
Synthetic example code and results. All interactions run locally; no repository is scanned and no application tests are executed.
THE MOMENT THAT MATTERS
Put the review
inside the work.
A finding is easier to act on while the developer or agent still has the task in context. Explore where the feedback enters the workflow.
Feedback before the next hand-off.
Check the change, review the fix and recheck inside the task. Configured gates determine what happens next.
HUMANS. AGENTS. THE SAME STANDARD.
Two ways to build.
One control layer.
Check inside the task.
Give your agent ARKO tools through MCP. Bring the independent result back into its next action.
Connect your agent ↗Carry the decision forward.
Use supported hooks and repository checks to apply your policy. Enforcement depends on the integration and configuration.
Explore gate setup ↗