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

Soap UI Vs Postman For API Testing: Which Should You Use?

Developers and Quality Assurance (QA) teams utilize many different API testing and validation tools to help them simplify the processes of testing, debugging, and validating APIs in the increasingly API-centric world of software development. Modern teams often combine End-to-End Testing with API-level testing to ensure full workflow reliability.

AI-powered test optimization with Tricentis Testim and SeaLights

If you find that your team is struggling to get releases out the door, it could be inefficient testing practices. Oftentimes, software teams don’t know what their tests actually cover, or which tests are relevant after each code change — so they run everything. This means spending hours executing full test suites for minor updates or burning through CI/CD resources while bugs slip through untested paths. On top of this, software is always becoming more complex.

How multimodal AI is reshaping software testing

Picture this: You’re creating test cases for a new feature. You have a Jira ticket with text requirements, a Figma mockup from design, a workflow diagram from the architect, and a screenshot from a stakeholder meeting. Traditionally, you’d manually translate all of this into test steps: describing the UI in words, interpreting the diagram, cross-referencing the mockup. But what if your testing tool could “see and “understand” all these artifacts directly, just like you do?

What should large teams be especially mindful of when adopting a tool like TrueTest?

Large teams should focus on leveraging Katalon’s professional services to accelerate ROI, because experts can reduce months of learning into weeks and get teams productive within days. With built-in best practices and hands-on onboarding, teams quickly gain the expertise needed to adopt TrueTest effectively. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

Now Available: AI Test Planner - Rainforest Crawls Your App to Deliver a Ready-to-Use Test Plan

Before you can test software, you need to know what to test. That’s where many QA teams stall out. They don’t have the right software testing tools for mapping the app, identifying user paths, and determining testing priorities. So, building a test plan can take days (or more) of manual work. It’s often slow, frustrating, and error-prone.

Test Orchestration: What, Why, and How?

In the agile development methodology, the velocity of testing holds the key to delivering the best quality software within the stipulated budget and time constraints. As such, this drives the need to automate the testing process with test orchestration. Most software development teams visualize test automation as a discreet step in the delivery lifecycle instead of viewing it as a designed sequence of steps.

10 Best CI/CD Tools in 2026

Modern development strategies rely on continuous integration and continuous delivery (CI/CD) to ship high quality software and updates. A well-designed CI/CD pipeline automates key parts of the software development lifecycle so teams can build, test, and deploy changes faster with fewer errors. To achieve this, development teams need the right CI/CD tools. Before you select your CI/CD solutions, you need to understand CI/CD pipelines and how they work.

Generative Ai Testing Tools: The Next Evolution Of Test Automation

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.