Momentic Launches Agentic Quality Platform to Tame AI-Driven Code Surge

San Francisco-based Momentic has unveiled a major platform update that redefines software verification for the age of AI. As AI coding tools enable teams to produce code at unprecedented speed, traditional validation methods have lagged, leading to more bugs reaching production and engineers spending time on hotfixes rather than innovation. Momentic’s new agentic quality platform addresses this gap by deploying intelligent agents that run on a shared product knowledge base. The platform includes 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 are impressive: the agents have analyzed over 70,000 test failures, opened 400 pull requests, written 600 tests with a 73% merge rate, executed more than 2 billion steps, and verified over 80,000 PRs. For more details, click here.

Momentic, Inc. serves as the agentic quality platform for engineers and agents, with customers like Notion, Xero, Bilt, Webflow, and SPS Commerce relying on it to prevent incidents from reaching customers as code volume scales exponentially with AI. The solution helps organizations ship fewer bugs to production and reduces engineering time lost to test maintenance. It offers comprehensive cross-platform support for web, Android, and iOS applications. Founded in late 2023, Momentic is backed by Standard Capital, Y Combinator, FCVC, Transpose Platform, Dropbox Ventures, and Karman Ventures, and is headquartered in San Francisco, California. For more information, visit momentic.ai.

This launch comes at a critical time when AI-generated code is flooding development pipelines, and traditional quality assurance methods struggle to keep up. By automating test coverage expansion and failure classification, Momentic aims to empower engineering teams to focus on building features rather than firefighting. The platform’s ability to autonomously open pull requests for non-bug failures and its high merge rate suggest a significant reduction in manual QA effort. As AI continues to scale code output, Momentic’s agentic approach could become a standard for maintaining software quality without sacrificing velocity.