Momentic, the quality platform for engineers and agents, today launched a major platform update that rethinks software verification for the AI era. As AI coding tools enable teams to ship more code than ever before, traditional validation methods have struggled to keep pace, leading to bugs reaching production faster than teams can catch them. The result, according to the company, is engineering teams stuck firefighting hotfixes instead of shipping new features.
The new agentic quality platform is designed to scale coverage as AI accelerates code to production. Momentic's agents run on a shared product knowledge base and include an Explore Agent that automatically expands test coverage, a Failure Classification Agent that categorizes failures and opens pull requests to heal non-bugs, and an intent-based test format readable by both humans and AI. Early beta results show the agents analyzing over 70,000 test failures, opening 400 pull requests, writing 600 tests with a 73% merge rate, executing more than 2 billion steps, and verifying over 80,000 pull requests.
"AI coding tools have made it possible for teams of all sizes to ship more code than ever before, but how that code gets validated has not kept up," said a Momentic spokesperson. The platform aims to address this imbalance by automating the quality assurance process, allowing engineering teams to focus on development rather than maintenance.
Companies like Notion, Xero, Bilt, Webflow, and SPS Commerce already use Momentic to prevent incidents from reaching customers as the volume of code produced scales exponentially with AI. The platform provides comprehensive cross-platform support for web, Android, and iOS applications.
Momentic was founded in late 2023 and is backed by Standard Capital, Y Combinator, FCVC, Transpose Platform, Dropbox Ventures, and Karman Ventures. The company is headquartered in San Francisco, California. For more information, visit momentic.ai.
The launch of this agentic quality platform underscores a growing need for automated verification solutions as AI-generated code continues to scale. By integrating agents that can classify failures and automatically generate pull requests, Momentic aims to reduce the engineering time lost to test maintenance and help organizations ship fewer bugs to production.
