Systems | Development | Analytics | API | Testing

You’re searching for “Selenium alternatives” because, while Selenium is a popular open-source test automation tool, it has certain limitations. Its slow execution speed can be problematic when dealing with large test suites or complex applications. The basic reporting and analytics features make finding problems and testing results difficult. It also lacks a mobile app testing focus — an essential feature for most organizations.

In the race to deliver software faster, QA teams often face an impossible trade-off: run exhaustive test runs to mitigate risk or cut corners to meet deadlines. The hard truth: Neither option is sustainable. Running every possible test wastes time and resources and skipping tests without considering their relevance and business risk introduces defects that could harm your business. The root cause of the problem? Most testing tools miss the context that makes results relevant.

In an era where 74% of companies struggle to achieve and scale AI value despite widespread adoption of integration tools, a fundamental disconnect has emerged between enterprise data infrastructure and business execution velocity. On one hand, enterprises need professionals who can own data integration outcomes without becoming engineers.

In this post, Kong Champion Sachin Ghumbre shares his journey of transforming a complex GenAI application from a state of operational challenges to streamlined control. Discover how Kong AI Gateway provided the enterprise-grade governance needed to secure, optimize, and scale his GenAI solution, tackling issues from escalating LLM costs to prompt injection risks.

OpenAI's new Agent Builder is revolutionizing how businesses create AI-powered workflows with its intuitive drag-and-drop interface. But here's the challenge that every enterprise faces: how do you give your agents access to internal databases without exposing credentials or compromising security?