Momentic raises the bar for software testing with agentic quality platform
Artificial intelligence-powered software testing and quality assurance platform Momentic Inc. today announced a major update to its service focused on verification in the AI coding era, enabling teams to ship more code. Quality assurance serves as a stopgap at the end of code production, preventing bugs from reaching production.
Key Takeaways
- SiliconANGLE UPDATED 09:00 EDT / JUNE 23 2026 AI Momentic raises the bar for software testing with agentic quality platform by Kyt Dotson Artificial intelligence-powered software testing and quality assurance platform Momentic Inc.
Although much of the coding experience involves writing quality code from the outset, the advent of AI-driven development lifecycles has introduced not just swifter build speeds, but also a whole new species of problems.
- GitLab's 2026 Global DevSecOps report described this as an "AI Paradox," finding that faster coding is creating new bottlenecks around quality, security and compliance, with only 37% of respondents saying they would trust AI to handle daily work tasks without human review.
Momentic's pitch is aimed directly at that emerging gap: If AI agents are going to write more code, teams need faster ways to verify whether that code still works.
- Finally it settles on making tests intent-based and readable.
Explore Agent acts as an approach to agentic memory that can watch everything.
- Developers don't always have a clear idea if that's an example of quality.
- Having a guide as to the level of severity of a given test failure means that developers can look at the quality of their code before preparing to push merges to production during review.
Stats & Key Facts
- #It goes without saying that software quality remains paramount, especially in the AI era, where agentic tools now do 40% to 50% of the work and are now exponentially scaling up code output.
- #GitLab's 2026 Global DevSecOps report described this as an "AI Paradox," finding that faster coding is creating new bottlenecks around quality, security and compliance, with only 37% of respondents saying they would trust AI to handle daily work tasks without human review.
SiliconANGLE UPDATED 09:00 EDT / JUNE 23 2026 AI Momentic raises the bar for software testing with agentic quality platform by Kyt Dotson Artificial intelligence-powered software testing and quality assurance platform Momentic Inc. today announced a major update to its service focused on verification in the AI coding era, enabling teams to ship more code. Quality assurance serves as a stopgap at the end of code production, preventing bugs from reaching production.
Although much of the coding experience involves writing quality code from the outset, the advent of AI-driven development lifecycles has introduced not just swifter build speeds, but also a whole new species of problems. "AI adoption is scaling, and especially in engineering, everyone's using tools like Cursor, Claude, Codex, any of the plethora of these coding agents to help them write more code," co-founder and Chief Executive Wei-Wei Wu told SiliconANGLE in an interview. It goes without saying that software quality remains paramount, especially in the AI era, where agentic tools now do 40% to 50% of the work and are now exponentially scaling up code output.
As a result, they're also exponentially scaling up bugs. Recent industry research suggests that AI coding tools are accelerating development, but not eliminating the need for oversight. GitLab's 2026 Global DevSecOps report described this as an "AI Paradox," finding that faster coding is creating new bottlenecks around quality, security and compliance, with only 37% of respondents saying they would trust AI to handle daily work tasks without human review.
For more details please read the original article at SiliconANGLE AI.
Continue Learning
Comments
Sign in to join the conversation