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mabl Unveils Transformative Agentic Testing Features

In an exciting development for software quality assurance, mabl, the AI-native test automation platform, has recently launched groundbreaking agentic testing capabilities, marking a significant step in enhancing collaboration for software development teams. These advanced features are designed to significantly reduce testing effort, expedite delivery timelines, and elevate the overall quality of software releases.

The introduction of AI-assisted testing comes as a welcomed solution amid the increasing demand for speedy software development, which has often placed immense pressure on quality assurance (QA) teams. Traditional manual testing methods and cumbersome automation frameworks have rendered many QA processes slow and inefficient. Dan Belcher, Co-founder of mabl, explained, "This advancement is rooted in the concept that an agent can become a vital part of the testing team. Unlike conventional scripting frameworks or generic large language models, mabl accumulates in-depth knowledge about applications over time, utilizing that insight to enhance both the software and the efficiency of your team."

Key Innovations of the Agentic Testing Teammate

The core features of mabl's Agentic Testing Teammate facilitate collaboration between human testers and automated agents, making testing more seamless. Here are some of the key innovations:

• - AI Vectorization & Test Semantic Search: This feature empowers the Teammate to comprehend the context of applications and testing resources deeply, shifting from mere keyword matching to understanding the intent and functionality of each test.

• - MCP Server Enhancements: The upgraded mabl MCP Server acts as a centralized hub for the Agentic Teammate, allowing developers to execute complex tasks such as Test Impact Analysis, intelligent test creation, and receiving failure recommendations directly within their Integrated Development Environment (IDE).

• - Test Creation Agent Enhancements: These enhancements lead to significant improvements in performance and test planning, enabling the Teammate to autonomously generate effective and reliable test coverage for new features seamlessly.

Transforming the Testing Process

The impact of mabl's agentic features is evident through testimonials from users like Arkadii Koval, Senior SDET at JetBlue. Koval praised the transformation of their testing process, stating, "The shift from 'days of manual effort' per release to leveraging mabl's agentic features, which reduces it to minutes, has been monumental for our team. We have eliminated the painstaking process of manually verifying every single element—from map renders and city images to route lines and seat selections. The time we've reclaimed has been incredible, allowing us to focus on building and delivering new features and experiences for our customers."

The new innovations directly address friction and toil across three critical workflows:

1. Elevating the Developer Flow State: By conducting test impact analyses to identify relevant tests for code changes, the agent dramatically lowers testing hurdles. When defects are identified, mabl injects concise results and actionable insights into the developer's IDE, enhancing their focus and reducing debugging time.

2. Accelerating QA Strategy and Velocity: mabl acts as a relentless partner for QA professionals by quickly identifying coverage gaps and triaging test failures. This enables QA teams to shift their focus from mundane test observations to more strategic quality goals.

3. Informed Strategy for Development Leaders: mabl simplifies the analysis of test coverage by application domain, providing failure data that can lead to systemic insights. This data can be consolidated and connected to external dashboards for management review.

A Prominent Announcement

These innovative features were highlighted during the keynotes at mabl's sixth annual user conference, mabl Experience, held on October 22, 2025. This year marked a remarkable growth milestone for mabl, with the adoption of agentic testing increasing tenfold. The conference served as a platform for insights from industry experts from companies such as Red Hat, ADP, and Priceline, emphasizing AI testing capabilities and their applications across various sectors.

About mabl

As a leading AI-native test automation platform, mabl is committed to empowering software teams to enhance innovation while navigating the complexities of quality assurance. The agentic tester acts as a supportive digital teammate, ensuring comprehensive and reliable quality checks across web applications, mobile platforms, and APIs. With trusted partnerships across industry frontrunners like Workday and JetBlue, mabl is reshaping the landscape of software quality assurance, making it more efficient and effective than ever before.