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“Upskilling” sounds great on LinkedIn. But how many people actually follow through? 👀 250+ professionals at Capgemini successfully completed the CoTester Certification journey. A strong reflection of a team that’s actively investing in the future of quality engineering. 🚀 But this spotlight is for the champions who went a step further. 🏆 The ones who stayed curious, kept learning, pushed boundaries, and emerged as top performers throughout the program. As a token of appreciation from TestGrid.io, these champions were awarded special hampers for their outstanding efforts and commitment. What’s truly exciting is seeing organizations create a culture where learning is not treated as a task but as a mindset. A big thanks to the leadership team, Nilesh Yeola, Anish Behanan & Trupti Gandhi at Capgemini for enabling and encouraging continuous upskilling at scale. To everyone featured here, congratulations on setting the benchmark. 👏 Kudos to our team, Paresh B.,Deepanwita Kar, Sanjaykumar Ghinaiya, Akshay More! #CoTester #Capgemini #TestGrid #SoftwareTesting #TestAutomation #Certification

Every QA team I talk to is stuck in the same loop: Write tests → UI changes → tests break → spend the sprint fixing them → barely any time left to actually test. Automation was supposed to save us from this. It didn't really, it just moved the pain somewhere else. Then AI copilots showed up, and for a while it felt like this is it. Tests got written faster. But someone still had to run them. Debug the flaky ones. Fix them when a developer renamed a button. Guess who that someone was. So when I started playing with 𝐂𝐨𝐓𝐞𝐬𝐭𝐞𝐫 by TestGrid.io, I went in skeptical. I've seen enough "AI for testing" demos to last a lifetime. But this one sits differently. And I think it's because of one small framing choice: CoTester isn't a copilot. It's a 𝐭𝐞𝐚𝐦𝐦𝐚𝐭𝐞. Here's what it looks like in practice: → You hand it a Jira ticket, a user story, or just describe the flow in plain English → It writes the test → It runs it on real devices and real browsers → When the UI changes, the test fixes itself (they call it AgentRx, and yes, it actually works) → Bugs get logged and reported without you babysitting anything → And you're still in the loop — reviewing, approving, course-correcting The part that genuinely surprised me though? I showed it to a manual tester on the team. Someone who's been doing QA for 8 years and has always felt locked out of "real automation" because she doesn't write code. Within an hour she was shipping automated tests. That's the shift. Not "AI replacing testers" but AI finally letting the testers who've been doing the hard, unglamorous work for years contribute at a whole new level. TestGrid shared some numbers (take them as direction, not promises): • ~50% less time writing tests • ~85% less time maintaining them • ~55% more throughput per sprint Your mileage will vary. But even half of those numbers would change my week. Here's where I've landed: Traditional automation = control,but the maintenance will eat you alive. AI copilots = faster, but still fragile, still your problem. An AI agent that actually owns the lifecycle, with humans in charge of what ships = a different category entirely. If you're a QA lead, an automation engineer, or an EM who's quietly tired of watching your team drown in test maintenance, give it 20 minutes. 👉 https://lnkd.in/g_ydnhAH CoTest it now. And when it ships clean — it's CoTested. ✅ #CoTester #TestGrid #QA #SoftwareTesting #TestAutomation #AIAgents 

NOT GUILTY. ALLEGATION #3: "CoTester by TestGrid.io failed the same test three times this week." True. Here's what else is true: The same bug shipped three times this year. Sprint 4. Fixed. Closed. Done. Sprint 7. Back. "How did this happen?" Sprint 11. Again. Silence on the call. CoTester didn't fail three times. CoTester caught the same unfixed problem three times. There's a difference. A failed test isn't a broken tool. It's a mirror. And sometimes the mirror shows something nobody wanted to look at. The test that "keeps failing" is usually the one pointing at the thing your team keeps shipping around instead of fixing. CoTester doesn't negotiate with bugs. Doesn't mark things done because the deadline is Friday. Doesn't give the benefit of the doubt to code that hasn't earned it. NOT GUILTY. The bug, however, has a very long rap sheet. 🗂️ Court is still in session. How many times has the same bug come back on your team? Be honest. 👇 #SoftwareTesting #QA #TestAutomation #CoTester #TestGrid #QualityEngineering #DevOps

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“Don’t automate people. Automate what’s stealing their genius.” A powerful glimpse from our conversation at Times Business Awards North 2026 by The Times Of India, where leaders from TestGrid shared their perspective on AI, intelligent automation, and the future of software quality. From agentic AI to the evolving role of humans in an AI-first world, the discussion explored how modern enterprises are moving beyond automation toward operational intelligence. Full conversation dropping soon. Featuring insights from Damanjeet S. and Paresh B. from Team TestGrid. #AI #ArtificialIntelligence #AgenticAI #SoftwareTesting #TestGrid

🏆 From building AI-powered quality engineering solutions… to now being recognized for the agility and innovation driving them. We’re proud to announce that TestGrid.io has been awarded “Agile Excellence in Startups of the Year” at the Indian Agile & DevOps Awards 2026 by Navigo Seminars. This recognition celebrates more than growth. It reflects the way our teams build, ship, test, and innovate, with speed, resilience, and a relentless focus on solving real-world software quality challenges. In a world where software delivery is becoming more complex every day, this award reinforces our belief that agility is no longer just a methodology. It’s a competitive advantage. A huge thank you to our customers, partners, and the incredible TestGrid team pushing boundaries every single day. 🚀 The journey is just getting started. #TestGrid #AgileAwards #DevOps #SoftwareTesting #QualityEngineering #AI

AI is changing the way software is built. Which means quality engineering can no longer rely on the same playbook. That’s exactly why conversations at QonfX by The Test Tribe matter right now. As Platinum Sponsors, we’re looking forward to connecting with engineering and QA leaders discussing how teams are adapting to AI-driven development, faster release cycles, and increasingly complex systems. Representing TestGrid.io at QonfX New York: • Jon Robinson • Manish Karamchandani 📍 New York 📅 June 3, 2026 If you’re attending, let’s connect and talk about what modern quality engineering needs to look like going forward. #QonfX #TestGrid #QualityEngineering #AITesting #SoftwareTesting #EngineeringLeadership #AI

One of my juniors asked me something interesting recently. “Why does AI solve so many developer problems, but QA still feels painful?” And honestly, he was right. Developers today have tools for almost everything. → ChatGPT for debugging. → Claude for understanding large codebases. → GitHub Copilot for writing code faster. → Cursor for AI assisted development. → Windsurf for autonomous coding workflows. The result? Developers are shipping faster than ever. But QA teams are still dealing with the same problems. Broken automation scripts. Regression suites that need constant fixing. Hours wasted maintaining tests after every UI update. Even AI coding tools do not fully solve this. They generate scripts faster. But the scripts still break. I realized this properly when I came across CoTester by TestGrid.io and started using it myself. What felt different was that it was not acting like another copilot. It actually handled the repetitive execution layer of testing. → Tests got created from workflows. → They kept running continuously. → UI changes did not break everything. → Bugs were logged automatically with context. → QA teams still stayed in control. The biggest shift was not speed. It was how much less time we spent maintaining automation. That changed the role of QA completely. Less babysitting scripts. More focus on quality and edge cases. That is the direction testing needs right now. It is CoTested. #ai #development #testing #QA

Codeless testing didn’t just change how we build tests. It changed how we scale them. We made it easier to create tests. So we created more of them. But as systems became more dynamic, something else started happening. Understanding didn’t scale at the same pace. When a test fails today, it’s not just about fixing the product. It’s about figuring out what the test was actually validating in the first place. That’s where teams are spending time now: • Not writing tests • Not running tests • But trying to interpret them And over time, confidence doesn’t disappear, It becomes conditional. This isn’t a failure of codeless. It’s a signal of what comes next. Because testing at scale isn’t just about execution anymore. It’s about understanding. That’s the shift we’re focused on at TestGrid.io. #SoftwareTesting #Codeless #Automation #QualityEngineering #TestGridSolutions