How do you verify if an AI agent actually stayed inside the task you gave it?
A new open-source tool called Ripple has been developed to address the issue of AI coding agents deviating from their assigned tasks. Ripple acts as a local checkpoint, saving the approved scope before an AI makes edits. When a user attempts to commit changes, a local hook checks for modifications outside the authorized boundary and blocks the commit if any are found. It then provides a "Review Packet" detailing the original scope and the unauthorized changes, allowing a human to decide whether to revert or approve them. This tool runs entirely locally and aims to prevent AI hallucinations from causing unintended code modifications. AI
IMPACT This tool could improve developer workflows by preventing AI coding agents from making unintended changes, reducing manual review time.