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

AI software testing tools: What actually works

The right AI tools make all the difference in QA testing AI has officially entered every corner of software testifng. The hard part now is figuring out which tools and features actually save time, speed releases, and (most importantly) improve quality outcomes. According to a recent survey from Test Guild, 72.8% of testers are prioritizing AI-powered QA for 2026. This includes tools that handle test planning, test management, test writing, and even analyzing test results. Contents Toggle.

What kind of teams will get the most out of TrueTest?

Teams that get the most out of TrueTest are those handling frequent releases, supporting multiple applications, and testing complex, end-to-end workflows. It is especially valuable for larger testing teams that need to automate at scale, collaborate across members, and avoid maintenance overhead while keeping up with continuous in-sprint testing and regression needs — Alex Martins, VP of Strategy at Katalon.

Building Reliable AI Writing Tools: Lessons From Developing Textero

Creating AI writing tools is messier than you’d think. You start with this grand vision of an assistant that actually helps people write better, not just spits out generic text. Then reality hits. Models hallucinate. Users have wildly different needs. And suddenly you’re facing questions about responsibility, accuracy, and whether you’re building something genuinely useful or just another gimmick.

From meeting transcript to production-ready code in 40 minutes: Building the future of AI testing

AI-assisted software development makes building new features to help our customers an exercise in speed. Rainforest has a deep culture of experimentation and iteration, and we’re actively exploring how AI can help us work smarter. At our core, we aren’t just building an AI test generation tool; we are constantly experimenting with how AI can make our own development cycles leaner, faster, and more intuitive. That includes experimenting with AI-assisted software development.

Why Your AI Code is Breaking (And How to Fix It) #speedscale #aicoding #aiagents #code #devops

New data from CodeRabbit shows AI makes 70% more errors than humans—mostly in logic. Stop shipping "AI Vibes" to production. Use the new Testing Pyramid: Deterministic (Validation) Record & Replay (Mocking) Probabilistic (Vibes) Don't let your agents break prod.

Tricentis Agentic Test Creation: Quality that moves at AI speed

In the age of AI, where delivery continues to accelerate, release confidence shouldn’t lag behind. Today’s software changes continuously, often generated or modified by AI. That raises complexity while shrinking the time quality teams have to plan, test, and make decisions. Manual workflows and static automation weren’t built for this pace.

What makes TrueTest so powerful when it's used alongside Katalon Studio?

TrueTest amplifies Katalon Studio by automatically turning real manual and production user interactions into automated tests during the sprint. Teams get in-sprint, production-ready automation faster, with minimal effort, directly inside their existing Katalon workflows — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!