Loop QA

Loop QA is an open-source, agent-built tool designed to automatically quality-assure web applications by exploring, mapping, and testing different user journeys through a given URL. It records the testing process and analyzes these recordings to generate detailed, actionable bug reports that can be used to address issues directly or integrated into software development workflows for faster resolution. An example case involving a hiring platform revealed various issues such as application submission failures, search function defects, and interface inconsistencies, all identified by Loop QA. The tool utilizes Replay MCP to gather evidence from its recordings and employs a judge model to ensure that the evidence supports its conclusions, aiming to provide comprehensive explanations of real user acceptance barriers, including broken functionality, poor performance, and confusing interfaces. It offers a free-to-use model at low volume and invites feedback from users, particularly those developing AI-driven applications at scale, to enhance app quality.