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SmartBear VisualTest Released

SmartBear released VisualTest, a new AI-powered automated regression testing tool that allows developers to easily catch visual defects and quickly confirm their website looks as designed, ensuring the best customer experience.

Automatically uncovering errors and highlighting inconsistencies using a robust comparison engine, VisualTest delivers component-level visibility alongside the automation processes for CI/CD, giving developers and testers visual accuracy and automation at scale. VisualTest also integrates with mobile and web application testing solution, BitBar, enabling teams to reduce context switching between visual, web, and real-device testing.

“Customer experience is critical for online businesses, especially now in a fiercely competitive environment,” said Joanna Schloss, Senior VP Product Marketing at SmartBear. “With frequent software updates common for SaaS and e-commerce companies, visual changes happen often and errors can frustrate users...It [VisualTest] is quick to deploy through self-service and easy to use, enabling developers to automate visual regression tests and correct problems before they get to the end user.”

With VisualTest, developers gain visibility into the design-and-build phase of the application with next-generation machine learning and AI engine tracking several types of visual changes. VisualTest ignores false positives while highlighting key differences, saving developers time and enhancing their applications. VisualTest essentially replicates the human eye for finding and catching visual errors that are not always detected through traditional functional or end-to-end testing. Using AI to run visual tests allows developers to focus only on important changes or differences. This aligns with the SmartBear goal of helping teams deploy with confidence by validating the quality of their UI in much less time.

Effective use of AI is critical to solve common testing challenges, especially those related to visual testing. Existing methods of visual testing are unreliable, time consuming, and cumbersome to maintain, and VisualTest fixes these problems through AI and other engineering innovations, significantly improving developer and tester productivity.

Compatible with Cypress, Selenium Python, and Selenium Java, VisualTest is easy to implement and use making it a great choice if you are just getting started. When you run a script, VisualTest automatically takes a screenshot, compares it to the previous version, and highlights crucial visual changes.

VisualTest is the latest in the company’s powerful and cost-effective suite of tools that give development teams unprecedented confidence in their software releases.

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SmartBear VisualTest Released

SmartBear released VisualTest, a new AI-powered automated regression testing tool that allows developers to easily catch visual defects and quickly confirm their website looks as designed, ensuring the best customer experience.

Automatically uncovering errors and highlighting inconsistencies using a robust comparison engine, VisualTest delivers component-level visibility alongside the automation processes for CI/CD, giving developers and testers visual accuracy and automation at scale. VisualTest also integrates with mobile and web application testing solution, BitBar, enabling teams to reduce context switching between visual, web, and real-device testing.

“Customer experience is critical for online businesses, especially now in a fiercely competitive environment,” said Joanna Schloss, Senior VP Product Marketing at SmartBear. “With frequent software updates common for SaaS and e-commerce companies, visual changes happen often and errors can frustrate users...It [VisualTest] is quick to deploy through self-service and easy to use, enabling developers to automate visual regression tests and correct problems before they get to the end user.”

With VisualTest, developers gain visibility into the design-and-build phase of the application with next-generation machine learning and AI engine tracking several types of visual changes. VisualTest ignores false positives while highlighting key differences, saving developers time and enhancing their applications. VisualTest essentially replicates the human eye for finding and catching visual errors that are not always detected through traditional functional or end-to-end testing. Using AI to run visual tests allows developers to focus only on important changes or differences. This aligns with the SmartBear goal of helping teams deploy with confidence by validating the quality of their UI in much less time.

Effective use of AI is critical to solve common testing challenges, especially those related to visual testing. Existing methods of visual testing are unreliable, time consuming, and cumbersome to maintain, and VisualTest fixes these problems through AI and other engineering innovations, significantly improving developer and tester productivity.

Compatible with Cypress, Selenium Python, and Selenium Java, VisualTest is easy to implement and use making it a great choice if you are just getting started. When you run a script, VisualTest automatically takes a screenshot, compares it to the previous version, and highlights crucial visual changes.

VisualTest is the latest in the company’s powerful and cost-effective suite of tools that give development teams unprecedented confidence in their software releases.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...