Momentic Launches Agentic Quality Platform to Address AI-Driven Code Scaling Challenges

Momentic introduces an agentic quality platform that automates software verification with AI agents to help engineering teams manage the increasing volume of code generated by AI coding tools.

SD Metrowire Staff
Technology
Momentic Launches Agentic Quality Platform to Address AI-Driven Code Scaling Challenges

Momentic, the quality platform for engineers and agents, today launched a major platform update that rethinks software verification for the AI era. The update introduces the first agentic quality platform, designed to scale test coverage as AI accelerates code production. With AI coding tools enabling teams to ship more code than ever, traditional validation methods have lagged, leading to bugs reaching production faster and engineering teams spending time on hotfixes instead of new features.

The new platform features agents that operate on a shared product knowledge base. The Explore Agent automatically expands test coverage by discovering new test scenarios. The Failure Classification Agent categorizes failures and opens pull requests to heal non-bugs, reducing manual triage. An intent-based test format makes tests readable by both humans and AI, facilitating collaboration.

Early beta results demonstrate significant impact: agents analyzed over 70,000 test failures, opened 400 pull requests, wrote 600 tests with a 73% merge rate, executed more than 2 billion steps, and verified over 80,000 pull requests. These metrics highlight the platform's ability to enhance quality assurance at scale.

Companies like Notion, Xero, Bilt, Webflow, and SPS Commerce use Momentic to prevent incidents from reaching customers as code volume grows exponentially with AI. The solution supports web, Android, and iOS applications, helping organizations ship fewer bugs and reduce engineering time spent on test maintenance.

For more information, visit momentic.ai.

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