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, the methods for validating that code have not kept up, leading to bugs reaching production faster than teams can catch them. The result is engineering teams stuck firefighting hotfixes instead of shipping new features.
The new platform, described as the first agentic quality platform, addresses this challenge by deploying AI agents that run on a shared product knowledge base. These agents 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 that is readable by both humans and AI.
Early beta results from the platform are promising. 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 pull requests. These metrics demonstrate the platform's ability to scale coverage as AI accelerates code to production.
The importance of this announcement lies in the growing disparity between code production and code validation. With AI coding tools like GitHub Copilot and others, developers can generate code at unprecedented speeds, but traditional testing methods struggle to keep up. This leads to increased risk of bugs, security vulnerabilities, and system failures in production. Momentic's agentic quality platform aims to close this gap by automating the verification process, allowing engineering teams to maintain high quality standards without sacrificing velocity.
For the industry, this shift represents a move toward autonomous quality assurance, where AI not only helps write code but also ensures its reliability. Companies like Notion, Xero, Bilt, Webflow, and SPS Commerce are already using Momentic to prevent incidents from reaching customers as the volume of code produced scales exponentially with AI. The platform supports web, Android, and iOS applications, making it versatile for diverse development environments.
The potential impact on engineering teams is significant. By automating test expansion, failure classification, and non-bug healing, Momentic reduces the time engineers spend on test maintenance and firefighting, freeing them to focus on building new features. This could lead to faster release cycles, higher product quality, and reduced operational costs. For businesses, fewer production incidents translate to better customer experiences and lower risk of reputational damage.
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.
