SmartBear's AI Push Aims to Close the Software Quality Gap

SOMERVILLE, Mass. – March 31, 2026 – SmartBear, a prominent player in the software quality tools market, today announced a significant wave of artificial intelligence enhancements across its entire product suite. The move aims to directly confront a growing crisis in software development: the struggle to maintain application quality and integrity as AI-driven tools accelerate code creation to unprecedented speeds.

The new capabilities, integrated into the SmartBear Application Integrity Core™, span API testing, UI test automation, and test management. They are designed not to replace human testers but to arm them with advanced agentic and AI-powered tools, enabling them to keep pace with the increasing volume and velocity of software releases.

The AI-Powered Quality Imperative

The software industry is grappling with what SmartBear has termed the 'AI Software Quality Gap.' The rapid adoption of AI code generation tools is creating a potential bottleneck in the software development lifecycle, where the ability to test and validate code lags dangerously behind the speed of its creation. A recent study by SmartBear highlighted this anxiety, finding that seven out of ten development leaders are concerned that quality is already suffering, while 68% worry that faster AI code development will create crippling testing backlogs.

This concern is echoed across the industry. Independent analysts from firms like Forrester have warned that traditional testing approaches, even those with continuous automation, are struggling to keep up. Without a strategic shift, testing risks becoming the primary impediment to rapid software delivery. Gartner projects that by 2028, 70% of enterprises will have integrated AI-augmented testing tools, a significant leap from just 20% in early 2025, signaling a market-wide scramble to address these bottlenecks.

SmartBear's latest release is positioned as a direct answer to this challenge. “SmartBear is firing on all cylinders to enable QA teams to move faster and improve application level testing,” said Vineeta Puranik, SmartBear Chief Product and Technology Officer. The company’s strategy acknowledges that teams are at different stages of AI adoption. “We see some teams racing toward fully autonomous solutions like BearQ, and others deploying AI-enabled tools to complement human-directed automation or even manual workflows,” Puranik added. “We meet customers where they are on their AI journeys by helping teams adopt AI confidently, scale testing effectively, and maintain application integrity as software delivery accelerates.”

Augmenting Humans with Agentic AI

At the heart of the announcement is a focus on human-AI collaboration. Rather than pushing for a fully automated, hands-off future, these new features are designed to function as intelligent assistants, empowering developers and QA engineers to work faster and smarter. This approach is evident in the specific enhancements across SmartBear’s product line.

A standout feature is the new agentic capability in Reflect, SmartBear’s test automation platform. This allows developers to generate complex, automated tests directly from their coding environment using natural language prompts. By invoking Reflect through the SmartBear MCP server, the AI agent can access the broader context of a project—including existing test assets and development history—to create context-aware tests. Early demonstrations have shown the agent successfully building a 35-step end-to-end test for an SAP workflow from a single prompt, showcasing its ability to handle significant complexity while keeping a human in the loop for validation.

For teams using Atlassian's Jira, the Zephyr test management tool now includes new Rovo agent skills. This enables QA professionals to use simple, natural-language queries to instantly evaluate test coverage, search through past test executions, and assess the readiness of a release. This capability transforms a time-consuming manual analysis into a quick conversation, allowing teams to rapidly identify testing gaps and prioritize their efforts more effectively.

SmartBear is also extending these AI capabilities to its on-premise tools, a critical move for enterprises with strict security and governance requirements. ReadyAPI, a tool for API testing, now features natural-language AI test generation for building complex, multi-step API tests without extensive scripting. Meanwhile, TestComplete, a long-standing tool for desktop and web UI testing, receives enhanced AI-based object detection. This improves the reliability of test automation for applications with rapidly changing user interfaces, a common challenge that often leads to brittle and high-maintenance test scripts.

A Strategic Play in a Competitive Market

This multi-product AI enhancement represents the highest volume of AI features SmartBear has released at one time, signaling a decisive strategic push to lead in the increasingly competitive AI-powered testing market. The landscape is crowded with formidable players like Tricentis, UiPath, and OpenText, all of whom are heavily investing in their own AI-augmented testing solutions. The industry is rapidly moving toward what analysts call Autonomous Testing Platforms (ATPs), which leverage generative AI and intelligent agents to deliver self-healing, adaptive, and risk-aware testing.

SmartBear's strategy appears to be one of comprehensive coverage. With the recent launch of BearQ, a fully autonomous testing solution, and this new suite of AI-augmented tools, the company offers a full spectrum of AI adoption pathways. This allows them to cater to both innovation-driven teams ready for full autonomy and more cautious enterprises looking to incrementally enhance their existing human-led workflows. The acquisition of Reflect in 2024 was a key enabler of this strategy, providing the generative AI technology needed to accelerate these developments.

The value of this approach is resonating with partners in the ecosystem. “Organizations are looking for practical ways to apply AI across their software delivery lifecycle,” commented Chris Lewis, CEO of Praecipio, an Atlassian-specialized management consulting firm and SmartBear partner. “Capabilities like these from SmartBear help teams uncover testing gaps and act on them quickly, exactly the kind of innovation we help our clients operationalize.”

SmartBear has indicated that this release is just one part of a broader roadmap. More enhancements are expected later this year, aimed at driving even faster test creation and more intelligent quality management. To hear more about our product roadmap, register for the “SmartBear Roadmap: Delivering Application Integrity Across the SDLC” webinar for April 8, 2026 at 10 a.m. ET.