Dwiparna Pal

We’ve automated so much of testing already, but somehow, it still feels… manual. 🤔 Scripts need fixing, tests need rerunning, and someone always has to double-check the results. That’s why a new, more adaptive approach is starting to change how QA works. It learns, adjusts, and makes testing more independent. In our new article, we examined what makes Agentic AI testing different, the real benefits teams see, and how you can start using it too. Take a look: https://lnkd.in/d_NjqQjS #qamadness #softwaretesting #qa #testautomation #AI #AgenticAI

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Is manual QA dead? No. But manually repeating the same regression suite every sprint shouldn't be the default anymore. Humans are most valuable where judgment matters:  exploratory testing, unusual behavior, product experience, and risk assessment.  They shouldn't spend every release repeatedly clicking through workflows a machine can continuously validate. Automate repetition. Preserve human judgment.  Monty Kothiwale Anoop Menon  #regressiontesting #QA #engineers #AI #automatedtesting

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Regulation shouldn’t require rewrites. But in many platforms, it does. Because the rules live inside application logic. So every regulatory update touches code. Every change slows releases. Every audit becomes a reconstruction. Regulatory-first product engineering moves rules out of the core into versioned policy layers. So compliance stops blocking velocity. And scale stops increasing complexity. Read full Blog here: https://lnkd.in/diApbZ8b #productengineering #softwaredevelopment #digitaltransformation #regulatoryfirst

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One QA team we work with used to lose the first two days of every sprint to regression testing alone - click through the same couple hundred scenarios, log the same handful of real bugs, move on. After bringing in an agent to run and adapt that suite, the same regression pass finishes overnight. Their engineers spend sprint day one on the handful of failures that actually need a human judgment call, not re-clicking through everything that already worked yesterday. The time saved isn't the interesting part. What's interesting is where it went: fewer hours spent proving nothing broke, more hours spent looking for what might. If your team got two extra days back every sprint, what would you actually do with them? #QualityEngineering #TestAutomation #SoftwareTesting #Robonito

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everyone wants to build new features. almost nobody wants to spend hours finding out why something broke. that's exactly why great qa people are so valuable. they save companies from problems users never see. qa triage headspin remote • full time bug investigation • issue triage • product quality find the problems that matter. prioritize what gets fixed. help engineering teams move faster without breaking things. found this on eqly. because some of the most important roles in tech don't get the spotlight. they quietly make sure everything works. while everyone is chasing flashy job titles, opportunities like this are sitting in public listings waiting to be discovered. it's on eqly.in what's more underrated in tech today: qa, documentation, or testing?

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At The Testing Squad, we noticed a common problem across QA teams, too much time is lost on repetitive, low-value setup work like. Writing test cases from scratch. Creating Fake addresses for Automation. Generating safe payment test data. So we built 3 free tools to help testers move faster 🔹 Fake Credit Card Generator – Luhn-valid cards for safe payment testing 🔹 Test Case Generator – Generate structured test cases in seconds 🔹 Random Address Generator – realistic test data for automation & staging These tools are: ✅ 100% free ✅ Browser-based ✅ Built specifically for QA & automation workflows 🔗 Explore all tools here: https://lnkd.in/g5QgHg9H #SoftwareTesting #QualityAssurance #TestAutomation #QATools #TheTestingSquad #India

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Most QA teams live in one of two extremes: Either you sample 1-2% of calls and hope nothing slips through. Or you try to automate everything and lose the nuance that matters. The real win is the blend. Leaders worry about “scary” contacts happening behind closed doors. Manual QA cannot scale. But going fully automated can feel risky when soft skills, tone, and internal expectations matter. With Level AI's AutoQA, Ollie scores 100% of conversations for coverage and consistency. Internal QA teams still review conversations manually to validate nuance, context, and expectations. Our AutoQA does not just check compliance boxes. It measures soft skills, sentiment, and resolution quality across every interaction. Then your internal QA team can validate, coach, and calibrate using the same unified scorecard. One system. One standard. Humans and AI measured holistically. That is how you get confidence at scale! Benjamin Devey

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Selenium started as a testing framework and became the foundation for everything that came after. In this latest co-authored piece with David Burns, Head of Developer Advocacy at BrowserStack, we look back at Selenium’s impact on testing culture and its influence on the next wave of intelligent, self-learning QA systems. Explore the full evolution here: https://lnkd.in/g7JZA6sy #QA #Selenium #AIAutomation #BrowserStack #Ideas2IT

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