Learn how codeless testing tools support web, mobile, desktop, and API testing while adapting to changing application ...

Tools can help check the accessibility of web applications – but human understanding is required in many areas.

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

TL;DR: SEO, development, and AI form a baseline stack for web applications heading into 2026.Technical SEO relies on Core Web ...

Digital delivery is no longer limited to a few customer-facing applications. Today, organizations across banking, retail, healthcare, and manufacturing are building software-driven ecosystems that ...

Learn about the key differences between DAST and pentesting, the emerging role of AI pentesting, their roles in security ...

Threat actors are exploiting misconfigured web applications used for security training and internal penetration testing, such ...

Imagine a customer placing an order online. They browse a website, add items to a cart, and complete the checkout process. It ...

TestMu AI (formerly known as LambdaTest), the world's first full-stack Agentic Quality Engineering platform, today announced its inclusion in The Forrester Wave (TM): Autonomous Testing Platforms, Q4 ...

The global electronics manufacturing and new energy sectors are witnessing a significant surge in demand for advanced testing and quality assurance equipment. As industries increasingly rely on ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.