Latest Product Updates and Feature Enhancements on SmartBear Software Inc

 

SmartBear embeds BearQ testing agent in Atlassian Jira

SmartBear has integrated its BearQ autonomous testing agent into Atlassian Jira, enhancing engineering teams' ability to validate applications within existing issue queues. This integration allows Be...arQ to autonomously test running applications, improving test coverage and efficiency. The integration also supports Zephyr reporting, ensuring compliance across development pipelines.

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SmartBear’s BearQ™ Agent Powers Autonomous Testing in Jira

SmartBear's BearQâ„¢ agent is now integrated into Atlassian Jira, enabling autonomous testing within AI software development workflows. BearQ enhances testing by simulating real user interactions and... adapting to new application capabilities, reducing manual script maintenance. This integration aims to improve software quality and efficiency, keeping pace with rapid AI-driven development.

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SmartBear MCP for Zephyr: Connect Testing to AI Tools

SmartBear has introduced the MCP Server for Zephyr, which connects Zephyr test data with AI tools like Claude Code, GitHub Copilot, and Cursor. This integration allows AI clients to access and act on... Zephyr test data without opening Jira, enhancing workflow efficiency and data accessibility. The MCP Server uses the open Model Context Protocol, ensuring compatibility with various AI tools.

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Reduce API governance fragmentation with SmartBear Swagger, now fluent in multiple protocols

SmartBear Swagger now supports multiple API protocols, including OpenAPI, AsyncAPI, GraphQL, and MCP, to streamline API governance and compliance. This integration allows teams to manage APIs consist...ently across different protocols, reducing fragmentation risks. Future support for gRPC and A2A is planned to enhance internal service-mesh traffic and agent coordination.

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API testing for agent-driven code:Â SmartBear ReadyAPI MCP for Claude, Copilot, Cursor, and compatible agents

SmartBear introduces ReadyAPI MCP Server, enabling API testing automation within AI-driven coding environments like Claude, Copilot, and Cursor. This integration allows developers to generate, run, a...nd heal API tests seamlessly in their coding sessions, enhancing continuous quality assurance. The tool addresses test generation friction, spec drift, and opaque test failures, ensuring reliable code delivery at AI speed.

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Meticulous, Functionize and SmartBear: the latest vendor and product news

SmartBear has announced new AI integrations with Anthropic Claude, GitHub, Atlassian Rovo, and AWS Kiro, enhancing its testing ecosystem. These integrations facilitate test generation, API governance..., and quality intelligence within AI-assisted development workflows, embedding quality assurance directly into software engineering platforms.

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SmartBear Tightens Integration Between AI Coding and Testing Tools

SmartBear has integrated its platform with AI coding tools from Anthropic, Atlassian, GitHub, and AWS to streamline code testing within the development environment. This integration aims to reduce fr...iction for developers and manage technical debt by enabling testing without leaving coding tools. The SmartBear Model Context Protocol server for GitHub and connectors for ReadyAPI and Swagger are key components of this update.

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SmartBear Agents: AI Teammates Coming to Testing & API Tools

SmartBear introduces AI-powered agents integrated into its testing and API tools, enhancing automation and governance. The new agents, including the Explorer Agent, QA Lead Agent, and Tester Agent, s...treamline testing workflows and API management, reducing manual efforts and improving quality assurance. These capabilities aim to maintain software integrity and accelerate delivery in AI-driven environments.

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SmartBear Adds Computer Vision Capability to Testing Platform

SmartBear has enhanced its TestComplete platform by integrating computer vision capabilities, allowing for automated testing of visually complex applications like CAD/CAM. This update enables machine...s to test applications as humans would, improving test resilience and maintenance. As AI accelerates application development, the need for such advanced testing capabilities becomes crucial.

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SmartBear Advances TestComplete with Vision AI, Enabling Automated ...

SmartBear has enhanced its TestComplete platform with Vision AI, enabling automated testing for complex visual applications. This new capability allows for improved test coverage and reduced risk by ...using visual object detection comparable to human perception. It supports various applications, including CAD and virtualized environments, and is available now as part of SmartBear's AI-powered innovation strategy.

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SmartBear at Atlassian Team 26: AI, quality intelligence, and the System of Work

SmartBear showcased its AI-driven quality intelligence solutions at Atlassian Team '26, emphasizing the integration of Zephyr Agent for Rovo and SmartBear MCP Server into Jira. These tools enhance te...sting workflows by embedding quality intelligence directly into development environments, facilitating faster delivery and decision-making. SmartBear was recognized as Atlassian's Partner of the Year 2026: AI Innovator for its innovative contributions.

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SmartBear Adds AI Test Generation to ReadyAPI

SmartBear has introduced an AI-powered test generation feature to its ReadyAPI platform, enhancing API testing speed by up to 80% while ensuring compliance and control. This update addresses the grow...ing demand for faster testing amid AI-driven development cycles. The feature offers flexible operational modes and supports no-code automation, catering to industries with strict compliance needs.

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SmartBear Delivers New ReadyAPI AI Test Generation Capability to Accelerate API Test Creation and Enhance Application Integrity

SmartBear has launched a new AI test generation capability for its ReadyAPI platform, enhancing API testing by up to 80%. This feature allows users to enable or disable AI based on their regulatory a...nd compliance needs, offering intelligent modes for performance and accuracy. The update aims to close the gap between AI-driven development and traditional testing, ensuring application integrity.

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SmartBear Delivers New ReadyAPI AI Test Generation Capability to ...

SmartBear has launched a new AI test generation capability for ReadyAPI, enhancing API test automation. This feature accelerates test creation by up to 80% and allows users to enable or disable AI ba...sed on compliance needs. It includes performance and accuracy modes and supports no-code automation, addressing the testing gap in AI-driven development.

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SmartBear Updates Swagger To Detect AI-Driven API Drift

SmartBear has expanded its Swagger platform to include a centralized Swagger Catalog and Swagger Contract Testing with continuous drift detection. This update addresses AI-driven API drift by enhanci...ng visibility and governance. New features include AI-assisted API generation, Spectral-based policy enforcement, and support for OpenAPI 3.1, AsyncAPI 3.0, and GraphQL. The update aims to prevent spec-to-runtime divergence and improve API integrity in AI-accelerated development.

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SmartBear fills honeypot of AI-ready API governance

SmartBear has introduced new capabilities in its Swagger suite to enhance API governance and visibility in AI-driven environments. The updates include a revamped Swagger Catalogue for improved API li...fecycle tracking and governance, and Swagger Contract Testing with drift detection to ensure compliance and integrity. These innovations aim to support platform and engineering teams in maintaining quality and control as AI accelerates software development.

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SmartBear Delivers New Swagger Capabilities to Elevate API Governance ...

SmartBear has introduced new Swagger capabilities to enhance API governance and quality, focusing on AI readiness. Key features include a revamped Swagger Catalog for API visibility, Swagger Contract... Testing for continuous validation, and expanded multi-protocol support. These innovations aim to ensure application integrity and compliance in AI-accelerated development environments.

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SmartBear fills honeypot of AI-ready API governance

SmartBear has enhanced its Swagger suite with new capabilities for API governance and validation, addressing the challenges of AI-driven development. Key updates include a revamped Swagger Catalogue ...for improved API visibility and governance, Swagger Contract Testing for continuous validation, and expanded support for multiple protocols. These innovations aim to ensure application integrity and compliance in AI-accelerated environments.

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SmartBear Delivers New Swagger Capabilities to Elevate API Governance ...

SmartBear has introduced new Swagger capabilities to enhance API governance and quality in AI-driven development. The updates include a revamped Swagger Catalog for improved API visibility and govern...ance, Swagger Contract Testing with drift detection for continuous validation, and expanded multi-protocol support. These innovations aim to maintain application integrity and compliance as AI accelerates software development.

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SmartBear Delivers AI Enhancements Across Entire...

SmartBear has introduced AI enhancements to its Application Integrity Core suite, including agentic test generation in Reflect, Rovo agent skills in Zephyr for Jira, and AI features in ReadyAPI and T...estComplete. These updates aim to address concerns about AI-driven code creation outpacing testing capabilities, as highlighted in a SmartBear study.

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SmartBear Delivers AI Enhancements Across Software Application Testing Lifecycle

SmartBear has introduced AI enhancements to its software testing suite, including API testing, UI test automation, and test management. These updates, part of the SmartBear Application Integrity Core..., aim to improve testing speed and reliability amid rapid AI-driven code creation. Key features include agentic capabilities in Reflect, natural-language queries in Zephyr, and AI-based enhancements in ReadyAPI and TestComplete, supporting enterprise governance and compliance.

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SmartBear Doubles Down on AI Testing, Channel Services

SmartBear expands its AI-driven testing capabilities across its platform, enhancing API testing, UI automation, and test management. These updates aim to support channel partners by addressing qualit...y assurance challenges in AI-powered development environments. New features include agentic capabilities in Reflect and Rovo agent skills for Zephyr, enhancing automation and test management workflows. SmartBear's strategy aligns with partners to meet growing demands in AI-driven development.

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SmartBear Announces New AI-Enhancements

SmartBear has introduced AI enhancements to its Application Integrity CoreTM suite, improving API testing, UI test automation, and test management. These updates include new agentic capabilities in R...eflect, Rovo agent skills for Zephyr, and AI features in ReadyAPI and TestComplete. The enhancements aim to accelerate testing workflows and adapt to AI-driven code creation, maintaining application integrity at scale.

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SmartBear Delivers AI-Enhancements Across Entire Software Application ...

SmartBear has introduced AI enhancements across its software application testing lifecycle, including API testing, UI test automation, and test management. The updates feature agentic capabilities in... Reflect, natural-language queries in Zephyr, and AI-based improvements in ReadyAPI and TestComplete. These advancements aim to accelerate testing processes and adapt to the fast-paced AI-driven development environment.

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SmartBear CEO warns AI coding boom risks outpacing testing in banks

SmartBear CEO Dan Faulkner highlights the risks of AI-driven software development outpacing testing, especially in banks. A survey by SmartBear shows 70% of experts believe AI has degraded applicatio...n quality. SmartBear is expanding in the financial sector, launching BearQ, an autonomous testing platform, to address these challenges by enhancing testing efficiency and governance in AI-driven environments.

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SmartBear Introduces BearQAutonomous Testing for Software Applications, Sets New Standard for Application Integrity

SmartBear has launched BearQ, an autonomous testing system designed to enhance application integrity by continuously exploring and validating software applications. BearQ, part of SmartBear's Applica...tion Integrity Core, adapts to changes in applications, ensuring ongoing validation without manual intervention. It aims to address the challenges posed by AI-driven development by providing a scalable, intelligent testing solution that aligns with business objectives.

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SmartBear Survey: 70% of Software Experts Concerned that Application ...

SmartBear released a survey revealing that 70% of software experts are concerned about declining application quality due to rapid AI-driven development. To address this, SmartBear launched BearQ, an ...autonomous QA system that enhances testing efficiency and application integrity. BearQ aims to close the quality gap by autonomously exploring and testing applications, ensuring they function as intended.

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SmartBear Introduces BearQTMAutonomous Testing for Software Applications ...

SmartBear has launched BearQ, an autonomous testing system designed to enhance application integrity by continuously exploring and validating software applications. BearQ, part of SmartBear's Applica...tion Integrity Core, adapts to changes in applications, providing governance and ensuring quality at AI speed. It initially targets web applications and will soon support API and mobile testing.

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SmartBear Introduces BearQ TM Autonomous Testing for Software ...

SmartBear has launched BearQ, an autonomous testing solution designed to enhance application integrity in AI-driven software development. BearQ autonomously explores and validates applications, ensur...ing continuous quality assurance. It adapts to application changes, prioritizes critical workflows, and provides governance controls. Initially targeting web applications, BearQ will soon support API and mobile testing. This release addresses the growing gap between rapid AI development and traditional testing methods.

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Leadership and Executive Team Updates at SmartBear Software Inc

 

Software Company SmartBear Appoints Chief Revenue Officer

SmartBear has appointed Dave Phillips as its new chief revenue officer. Phillips, previously the senior vice president of customer success and renewals, will focus on global revenue growth, overseein...g sales, customer success, renewals, channel partnerships, and go-to-market strategy. His promotion highlights SmartBear's commitment to enhancing customer outcomes and adapting to AI-driven changes in software development.

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SmartBear Appoints Dave Phillips as Chief Revenue Officer to Drive AI ...

SmartBear has appointed Dave Phillips as Chief Revenue Officer to enhance its executive leadership team. Phillips will oversee global revenue operations, focusing on expanding customer relationships ...and driving new acquisitions. His appointment supports SmartBear's strategy to maintain software quality amid AI-driven development changes.

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SmartBear Names Dave Phillips Chief Revenue Officer

SmartBear has appointed Dave Phillips as Chief Revenue Officer to lead global revenue growth. Phillips will oversee sales, customer success, and channel strategy, focusing on helping customers adopt ...AI in their software development lifecycle. With over 20 years of experience, Phillips aims to enhance customer trust and drive execution in the AI-driven software quality landscape.

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Awards, Recognitions, and Industry Achievements of SmartBear Software Inc

 

How Tata Is Advancing AI-Driven API Innovation with SmartBear Swagger

Tata Consultancy Services' senior developer A. Singh won the AI Builders Award for using SmartBear Swagger to enhance API development with AI. Singh's team utilized AI to streamline API design, cutti...ng design time significantly and improving consistency across legacy APIs. This innovation enabled faster development of new services, showcasing the potential of AI-powered API development.

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