Testsigma

A lot has changed in testing but one thing is clear: teams aren't just chasing automation anymore, they're chasing reliability at speed. From AI-assisted testing to smarter test design, the focus is shifting from “how much we automate” to "how well it actually works.” Great meeting practitioners who are rethinking: • Flaky test reduction • Faster feedback loops • Scalable test architecture • AI in real-world QA (not just buzzwords) Events like this are a reminder that testing isn’t a bottleneck. Done right, it’s a growth driver. If you were there, what stood out to you? #STAREAST #TestAutomation #QualityEngineering #AIQA #testsigma

Most teams think testing ends with writing test cases. It doesn't. The real value comes from test execution, where you actually validate, break, and improve your product. This is where: • Bugs are uncovered (not assumed) • Requirements are truly validated • Quality decisions are made with real data But here's the catch Poor execution = missed defects, flaky results, and delayed releases. If you want better product quality, start optimizing how you execute tests, not just how you write them. This guide breaks it down clearly https://lnkd.in/gtDpQVgV #SoftwareTesting #TestAutomation #QualityEngineering #testsigma

At the Digital Transformation Summit Malaysia, the conversations made one thing clear: speed without quality is risk, and innovation without automation doesn't scale. From AI-led testing to continuous delivery, it's exciting to see how teams are rethinking quality engineering to keep up with modern demands. #DigitalTransformationSummit #QualityEngineering #Testsigma #AIQA

Kuala Lumpur nights, great minds, and even better conversations ✨ From exchanging ideas to building stronger connections, last night's dinner brought together people who are shaping the future of testing and quality. More than an event, it was a room full of momentum! #testsigma #TechCommunity #AutomationTesting #AIQA

Most test automation failures aren't random; they're systemic. They show up as: • High test flakiness due to poor synchronization and unstable locators • Tight coupling between test scripts and UI, making small changes expensive • Low test reliability because of weak test data management • Slow feedback loops from lack of parallel execution • Bloated suites with low signal-to-noise ratio At that point, automation stops being an accelerator… and becomes technical debt. What actually fixes it 👇 • Use resilient locator strategies (not brittle XPath chains) • Isolate test data and environments for consistency • Design modular, reusable test architecture • Run tests in parallel to reduce feedback time • Continuously refactor test suites like production code Test automation is an engineering problem, not just a QA activity. If your suite is slowing you down instead of speeding you up, this breakdown is worth a read: https://lnkd.in/giNpJPh #TestAutomation #SoftwareTesting #QualityEngineering #testsigma

We asked the QA community where AI agents make the biggest impact in testing. Here's how the votes landed 👇 ✔️ Test Case Generation - 45%  ✔️ Failure Analysis & Debugging - 25%  ✔️ Test Maintenance & Auto-Healing - 20%  ✔️ Test Data & Environment Setup - 10% The community has spoken, AI is winning at the start of the pipeline first. Where is your team seeing the most impact? Drop it in the comments #AITesting #TestAutomation #testsigma #QualityEngineering

Singapore, last night, QA & engineering leaders, and a conversation that went well beyond AI hype. We explored where AI is already driving impact (test creation, analysis, and debugging) and where teams are still figuring things out. One thing was clear: speed isn't enough; confidence and quality still need intent. Quality is becoming a shared responsibility, with QA shaping how it’s defined. And in a world of agents, context and ownership matter more than ever. Grateful for the perspectives, this felt like the start of an ongoing exchange. Sharing a few moments! #AIinTesting #QualityEngineering #AIQA #testsigma

Be honest When did you last ship a feature without nervously crossing your fingers? If your automation is supposed to give you confidence, but you're still anxious every release… something's off. We put together a quick reality check for QA teams: 5 signs your test automation is costing more than it saves. Comment below if you've experienced any of these! #SoftwareTesting #TestAutomation #AIQA #Testsigma

AI agents are already helping teams move faster by generating tests, analyzing failures, and reducing manual effort across the testing lifecycle. But where do you think AI agents make the biggest impact in testing today? Curious to see how the QA community is using AI in real workflows. 👀 #AITesting #TestAutomation #QA #SoftwareTesting #QualityEngineering

Agile changed how we build software. Agile automation is changing how we ensure quality. When testing becomes continuous, you unlock faster feedback, better coverage, and real collaboration across teams. But getting there requires more than just tools. It needs the right strategy, mindset, and integration into your delivery pipeline. Here's a complete breakdown of how to do it right - https://lnkd.in/giUNnwXN #agileautomation #testautomation #QualityEngineering #testsigma