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The latest News and Information on Software Testing and related technologies.

The Truth About AI Web Development and Dev Productivity

Can AI solve the PHP talent shortage — or does it introduce new challenges? In this clip from a recent Zend webinar, “The 2026 State of PHP,” PHP experts Matthew Weier O’Phinney and Adam Culp explore how AI web development is changing the way teams modernize applications, and why AI alone isn’t the answer. AI is already accelerating development workflows, helping teams generate code, document processes, and move faster through modernization projects. But when it comes to replacing skilled engineers, the reality is more nuanced.

The Complete Guide to Core Banking Modernization: Strategy, Architecture, and Implementation

Core banking is no longer just an operational backbone. It has quietly become the biggest constraint on innovation for many financial institutions. For decades, banks have relied on monolithic, tightly coupled core systems. These systems were designed for stability, not speed. Today, that tradeoff no longer works. Customer expectations have changed. Competition has changed. Regulation has intensified. And most importantly, the pace of digital change has accelerated beyond what legacy cores can handle.

How to Choose the Right Test Automation Framework in 2026

Picking the wrong test automation framework is a decision that compounds over time. Choose based on your team's stack, not industry hype. Before committing to any framework, run a proof of concept against your actual CI/CD pipeline, not a demo environment. Choosing a test automation framework used to feel like picking a car: there were a few obvious options, most people picked the most popular one, and you lived with the consequences. In 2026, the landscape looks more like a fleet decision.

The High-Velocity Roadmap: Building Mobile Release Confidence

Whether you're just starting your automation journey or looking to level up to AI-driven quality, this session delivers the insights and tools to help your team release better mobile apps, faster. Sauce Labs experts Ashwini Sathe and Senior Solutions Engineer Parth Patel explore one of modern development's biggest paradoxes: AI-powered development has made shipping faster than ever — so why is maintaining quality getting harder?

Why Static Analysis Is Still Essential in the Age of Claude AI Cybersecurity Scanning

It’s hard to keep up with how fast artificial intelligence is transforming organizations’ approach software security. Models like Claude Mythos Preview bring impressive new capabilities to the market, offering dynamic threat detection and adaptive learning. These advancements lead many engineering leaders to ask a critical question: Do we still need static analysis? The short answer is a definitive yes.

From Smart Recommendations to Slow Responses: Performance Engineering Challenges in AI-Driven Travel

There is a moment most travel platform teams are now experiencing for the first time. The AI-powered booking assistant is live. The conversational search feature is generating rave reviews from product managers. The personalised itinerary engine is pulling data from a dozen microservices in real time. And then peak season arrives. Response times climb. The AI layer starts queuing. The booking funnel drops. Users abandon. And the engineering team realises something uncomfortable.

Data: The Key to Driving DevOps Business Success | Full IDC Webcast

More than 70% of organizations say DevOps strategy is a high or extremely high driver of business value. If you’re still struggling to reap such benefits and scale across the full application portfolio, this webinar will show you what leading teams are doing to close the gap.

How to scale AI test automation without losing test visibility

According to SmartBear’s Closing the AI Software Quality Gap study, 93% of teams are already using AI to generate code. The same study found that 60% expect AI to produce nearly half of all code within the next year. This shift in development velocity is already impacting software testing and quality. Most teams say application quality is suffering, and 60% have experienced quality issues in the past year because development is moving faster than testing can keep up.