Systems | Development | Analytics | API | Testing

Accessibility and localization often seem like separate disciplines, each with its own set of guidelines and goals.

Manual testing is still essential, but it’s often disconnected from automation. The new Manual to Automation capability in Katalon bridges that gap. It converts manual test runs into automated scripts instantly, linking them for unified coverage.

In the last ten years, software testing has advanced significantly, but today’s applications require more than just using conventional forms of automated software testing or entry-level tools that employ artificial intelligence (AI). The rise of microservice architectures, API calls, and continuous deployment has led to another category of software testing products called "Generative" AI Testing tools.

One of the most critical ways to validate real user journeys across any application is through end-to-end testing. Modern software stacks have grown so distributed that manual E2E testing grows increasingly hard to maintain and nearly impossible to scale. This is where automation in end-to-end testing helps engineering teams with the reliability, speed, and confidence during every release.

Do you find yourself questioning why popular apps sometimes crash or act unusually? Regardless of how hard software is crafted, bugs are a huge obstacle for teams, often resulting in unhappy users, lost revenue, or even product release delays. Most organizations are unable to track these bugs effectively and so they often use a mix of spreadsheets, or scattered scribbled notes and lose them in the shuffle—causing confusion, repeated work, and issues that aren’t resolved.

Over the past few years, model providers have invested heavily in “guardrails”: safety layers around large language models that detect risky content, block some harmful queries, and make systems harder to jailbreak.

October brings focused AI-native upgrades across Studio 10.4.0, TestCloud, and TestOps. Studio adds Agent-mode MCP, AWS Bedrock, AI failure analysis, automated code migration, and API auth inheritance. TestCloud delivers live device takeover, KRE session control, CLI heap sizing, private site testing, and richer Image Injection. TestOps adds an MCP server for LLM-driven management and a unified, real-time schedule console.

Have you ever observed an application that was completely functional, and suddenly it starts lagging at peak usage? Most teams are concerned with functionality first and performance under load second. Open source load testing tools expose your application’s bottlenecks before your users notice them. In this blog, we explain how these tools work, compare their features, and discuss best practices.