mabl, the leading AI-powered testing platform, unveiled a suite of new features designed to extend its award-winning agentic testing capabilities and accelerate software delivery.
“From day one, mabl was built on the premise that it should act as a true agent for testing teams, with our AI capabilities having been recognized by industry leaders time and time again,” said Dan Belcher, Co-Founder of mabl. “These latest advancements are a direct realization of the vision we set out with eight years ago, acting as a collaborative teammate that understands intent and proactively assisting our customers, enabling them to push the boundaries of what’s possible in software testing.”
This quarter saw a number of innovative new features released, highlighted at the AI & Software Quality Summits in San Francisco, Chicago, Atlanta, and London. This multi-city event brought important conversations to the field, discussing both the challenges and opportunities AI is bringing to the software quality space.
With hundreds of registrations, mabl leveraged the AI & Software Quality Summit as an opportunity to introduce market-leading features to both seasoned mabl users and prospects alike. These features, including new architecture that enables semantic indexing of all test assets, autonomous API test generation, and Unified Reporting that includes Playwright and local executions, were met with enthusiastic feedback, with attendees noting, “this is exactly what we’ve been looking for,” and that they’d “not seen anything like it with competitors.”
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These capabilities lay the foundation for today’s announcements, delivering on mabl’s agentic vision:
- Test Creation Agent – mabl’s new agent can autonomously build full end-to-end tests using natural language processing (NLP), developing test outlines, structured flows, and ultimately extremely stable tests. It can determine and integrate reusable components, as well as generating robust steps for cloud execution.
- Auto TFA – Test failure analysis, a critical step in the testing process, is now done automatically, analyzing both test and plan failures, generating summaries, pinpointing root causes and recommendations, and classifying issues. The immediate access to failure insights, potential causes, and recommendations enables faster root cause analysis and speeds up defect resolution.
- Visual Assist – Acting as the eyes of a tester, this capability analyzes screenshots of UI elements to get a visual understanding of layouts, boosting its ability to detect elements by combining both visual and code-based locators. This expands traditional attribute-level location to support new use cases and significantly reduce test maintenance.
These new agentic features underscore mabl’s commitment to growth in the AI space, designed to mesh with the company’s existing GenAI features, which saw a 700% increase in adoption rates in the first five months after their initial release. This adoption rate is higher than any features in mabl’s history and is significantly contributing to the way teams approach using AI in testing.
“mabl’s GenAI Assertion capabilities have saved our team many hours of manual test creation, especially critical for our video application where we now have an AI partner that can see and validate visual elements automatically,” said Jeremy Blythe, VP of Engineering at Evertz. “As mabl continues expanding on AI throughout the testing workflow, we anticipate even greater efficiency gains and coverage depth.”
These latest updates solidify mabl’s commitment in enabling teams to transform software quality by harnessing the power of machine intelligence and human insight. Acting as a powerful extension of the team, mabl‘s agentic features take on the complexities of testing with increasing autonomy, freeing teams up to tackle more significant challenges across the software development lifecycle.
Source: PRNewswire