Quash

AI testing tools remember your prompts, syntax and codebases. But here's why they still miss crucial bugs. They do not remember the app they're supposed to be testing. So every test run starts fresh, with no memory or context of what broke the day before. That's a structural issue about to obliterate your entire test runs. When a tool has no consistent understanding of your app, it can't reason about regressions. It can only react to what's in front of it, So, the same bugs come back. And here's the part nobody talks about: your team stops debugging the product and starts debugging the tests. That's not what your QA teams are being paid for, right? We are not saying that AI testing tools are unintelligent. They are, in fact, stateless, out of context and full of temporary fixes. Quash built something called App Memory to change this. It is consistent, structured knowledge of how your app works and how it's changing with every test run. Not a workaround. A different foundation. Accurate testing is closer than you think. click the link in the comment section to see how. #QualityEngineering #SoftwareTesting #AITesting #QA #Quash

Would you trust a doctor who forgets you every time, with your health? If not, then why accept the same from your testing tool? Traditional automation tools build for testing start from zero, with no memory of what has changed, like they are built for something that stands still. Meanwhile, your apps change constantly. It ships news flows every sprint, behaves differently across environments and has undocumented edge cases. But the foundational problem is that your tests debugs things that aren't failures, often missing bugs that actually matter. This is exactly what we've been building against at Quash. Testing that holds context, across builds, environments, and runs. An agent that learns your app's flows, connects to your codebase, and gets more accurate over time. If this feels like something your QA team is doing, if your tooling is the problem, then our latest blog might have just the solution your enterprise needs. Link in the comments. #productupdates #AI #Automation

Nobody told enterprise QA teams that AI gets expensive fast. Free tiers of ChatGPT and Claude made everyone comfortable with AI. Then the bill hits at scale. Every test run burning tokens. Every rerun, the agent starts from scratch. Multiply that by hundreds of flows across a release cycle. You're not saving money, you're bleeding it. Quash's rerun works differently. Run 1 - the agent explores your app, understands the flow, builds a trajectory. Run 2 onwards - No AI. Pure execution from memory. But if something changes on screen? The agent steps back in, adapts, and hands control back. No manual re-triggering. No rewriting flows. No starting from scratch. No unnecessary token spend. Watch Divisha walk through the full rerun flow. What happens under the hood, why it matters, and what it means for your test cycles at scale. This is what scriptless actually looks like in practice. #productupdate #rerun #AI #Automation

The industry kept solving the wrong problem. Selectors, recordings, AI reasoning are all built for the first run. None of them built for the 50th. Test Paths was built for the 50th. Memory-driven. Script-free. 3× faster from Run 2 onwards. Test our speed while testing your app. Try quash today! www.quashbugs.com #product #rerun #speed #AI

The smartest people in the room aren't the ones who think the hardest. They're the ones who know when to stop thinking and just execute. Quash Rerun does exactly that. Maps your automation's entire trajectory on run one — every decision, every step, every click. Locks it in. Forever. Similar task next time? Quash doesn't consult the AI. It already knows the way. Introducing Quash Rerun. Map once. Execute always. #Productupdate #NewFeature #Quash #AIAutomation

This is what community looks like when you stop making it formal. More Sundays coming. Stay Tuned. 👀 #Community #Sidequest #Builders

Side Quest was more than a networking event. It went beyond pitches, and panels to just forming connections. We took the formal events playbook and threw it out of the window. Turns out, that's when the real conversations happen. Swipe to see how it went. → Miss the first one? More eventful Sundays are on the way. Stay tuned. #Community #Builders #SideQuest

Most test reruns are just scripts running on a prayer. The moment your UI shifts, they break. You fix the script. Rinse, repeat. We built something different. Introducing test paths - Quash runs your test once using AI to understand the flow, saves the successful path, and replays it on every future run. No scripts. If the UI changes, AI kicks in again. If it doesn't, the path just runs. The result: 3x faster reruns from the second execution onwards. It's not about running AI every time. It's about running AI only when you need to. #Reruns #productupdate #scriptless #Testing

Exhausted. Exhilarated. Educated This is the team with thier post-event glow after Qonfx, after 8 hours of networking and learning on a Friday. We've spent the last year building Quash — late nights debugging the execution agent, rewriting the inference engine, convincing ourselves and others that agentic mobile testing is the future even when no one else was talking about it. And then QonfX happened. 40+ conversations with QA leads who've been burned by Appium. VPs of Eng who are drowning in flaky test debt. SDETs who watched our demo and said, "Wait—this actually works?" We didn't just pitch. We showed. Live app. Live agent. Live test flows. No script. No failures. And they leaned in. Here's the thing about building something new: Most days, you're not sure if you're solving a real problem or just a problem you invented. QonfX was one of the few moments we felt the market catch up. Not because people clapped. But because they got it. They saw what we saw: that scriptless, agentic testing isn't a nice-to-have. It's where mobile QA has to go. This photo is the team that made it happen. The engineers who rebuilt the engine 3 times to get it right. The early believers who showed up to the booth at 8 AM and stayed till 6 PM answering the same question 40 different ways. We felt tired. But We're more convinced than ever. And we're not done. If you're a QA lead, VP of Eng, or SDET who's tired of fighting Selenium and Appium—DM us. Let's talk about what's next. #QonfX #TestTribe #StartupJourney #MobileQA #QuashTeam

QonfX wasn't a sponsorship. It was a masterclass. We went in with a booth, a demo, and a 10-minute speaking slot. We came back with 40+ unfiltered conversations with QA leads, VPs of Eng, and SDETs who are living the pain we're trying to solve. Here's what we learned about inbound that no LinkedIn post could teach us: 1. Feature requests happen in real time. When someone watches your demo and interrupts with "Wait—can it handle dynamic elements?" you know exactly what to build next. 2. Trust builds faster face-to-face. You can't fake empathy in a 90-second conversation. The QA engineers who stopped by didn't want a pitch—they wanted to know if we'd felt their pain. Turns out, we have. And they could tell. 3. Your team learns as much as your prospects. Every "How does this compare to Appium?" forced us to sharpen our positioning. Every "What if the app updates mid-test?" exposed edge cases we hadn't considered. Our team left smarter. 4. Inbound isn't content. It's conversation. We've spent months optimizing LinkedIn posts. One day at QonfX generated more qualified pipeline than the last quarter of content. Not because content doesn't work, but because nothing replaces the signal of someone leaning in and asking, "Can I see that again?" Swipe through for a few moments from the day. 👉 If you were at QonfX and we didn't get to connect—our bad. DM us. Let's finish the conversation. #QonfX #TestTribe #InboundMarketing #QAEngineering #StartupLessons