Introducing ACE by HeadSpin for Automated Testing

Speed is exciting, but speed without quality is risky. In many product teams I speak with, the biggest release bottleneck isn’t development anymore… It’s the final QA cycle. A 2-week testing window often delays launches, frustrates developers, and slows down fast-moving startups. That’s exactly the problem we wanted to solve at Testriq QA Lab. Introducing LaunchFast QA, designed for high-growth teams that need confidence in every release without slowing down delivery. - Parallel testing across platforms - AI-assisted automation cycles - Real-time insights instead of delayed reports The goal is simple: Help teams move from long QA cycles to high-velocity releases. If you're building fast and shipping often, this approach can make a real difference. Curious to hear how other teams are balancing speed and product quality today. #qa #viral #testriq #launch

Teams often struggle to keep end-to-end testing aligned across roles. Testers, automation engineers, developers, and product managers may all care about quality, but they do not always work from the same workflow or language. BlinqIO helps bring that together with an AI test automation ecosystem built for real end-to-end web testing and powered by real Playwright project code under the hood. If your team wants to move faster, reduce friction, and build more reliable tests from start to finish, BlinqIO is built for that. #BlinqIO #Playwright #TestAutomation #SoftwareTesting #QualityEngineering #E2ETesting

Optimizing the Modern Development Workflow I’ve recently integrated the Zencoder extension into my VS code, and the impact on my development lifecycle has been significant. Moving beyond simple code completion, it has allowed me to redefine how I approach complex tasks: Asynchronous Project Scaling: By prompting requirements and allowing the project to build in the background, I can maintain a high-level focus on architecture without getting bogged down in boilerplate. Custom Agentic Workflows: I developed a dedicated AI Agent specifically for Unit Testing. This has drastically improved code quality and ensured robust coverage from the start. Accelerated Onboarding: It has effectively bridged the gap between production and learning, allowing me to implement new features with zero friction. The shift toward AI-agent-assisted development is real, and the productivity gains are measurable. If you're looking to scale your output while maintaining high standards, I highly recommend exploring Zencoder. #SoftwareEngineering #AIAgents #Zencoder #CleanCode #DevTools #Productivity

Stop reacting to bugs. Start predicting them. With AI-powered testing, QO-BOX analyzes historical data and code patterns to detect potential defects before production. Fewer failures. Faster releases. Smarter QA. That’s not testing. That’s intelligent engineering. #QOBOX #AITesting #PredictiveQA #IntelligentEngineering #DevOps #QualityAssurance #AIPowered #SoftwareTesting #ShiftLeft #FutureOfEngineering

Stop reacting to bugs. Start predicting them. With AI-powered testing, QO-BOX analyzes historical data and code patterns to detect potential defects before production. Fewer failures. Faster releases. Smarter QA. That’s not testing. That’s intelligent engineering. #QOBOX #AITesting #PredictiveQA #IntelligentEngineering #DevOps #QualityAssurance #AIPowered #SoftwareTesting #ShiftLeft #FutureOfEngineering

I saw this meme and honestly it’s so far from reality. We keep talking about shift-left, testing earlier, bringing QA into development and then we share memes like this, implying API testing somehow doesn’t make sense. First of all, API itself can be the product. Second: even if it’s not - API always needs to be tested separately. Different bugs. Different rules. Different risks. You don’t test API like a user clicks a UI. You test: success paths, validation errors, auth mechanisms, rate limiting, performance, edge cases and many others. Most of which you can’t even properly test through the UI. That’s the whole point. And this is exactly why we built Rentgen.io To take care of these boring, but critical checks instantly - without setup, without writing tests, without pretending clicking buttons will somehow cover your backend. Automation before automation. #testing #qa #softwaretesting #apitesting #shiftleft #qualityengineering #backend #automation #rentgen

Your tests are failing. Your users are churning. And your engineers are still switching between 6 tools trying to figure out why. That's the broken QA debug loop most teams live in today. → CI logs in one place → Production errors in another → User impact data somewhere else entirely No connection. No context. Just 13 hours of manual investigation per incident. We built TestRelic AI to fix exactly this. One platform that connects every test failure to real user impact — so your team knows what broke, why it broke, and how many users are affected before they even open a second tab. Swipe through to see how much time and money your team is leaving on the table 👉 If these hits close to home, drop a comment or DM me — happy to show you what it looks like for your stack. #SoftwareQuality #QAEngineering #TestAutomation #Playwright #DevTools #EngineeringLeadership #DeveloperProductivity #TestRelic

I have a dev team.  qa-lead.  backend-lead.  frontend-dev.  orchestrator.  None of them are human.  ---  Here's what Sprint H3 looked like:  Team status board open.  7 tasks completed, 2 in progress.  The orchestrator coordinates work and unblocks teammates.  The backend-lead runs deep on implementation.  The qa-lead checks everything before it ships.  The frontend-dev handles UI in parallel.  They work simultaneously.  They message each other.  They track dependencies.  They report back when blocked.  ---  I'm not watching them.  I'm working on something else.  Every few minutes, I check in:  "Task completed. Claiming M6."  "Blocked waiting for #10."  "Sprint velocity on track."  ---  This isn't a demo.  This isn't a tutorial.  This is how I've been shipping software for weeks.  ---  The setup is simpler than it sounds:  8 agent definitions in ~/.claude/agents/  One command to form a team.  Tasks tracked automatically with dependencies.  The result?  I think like a tech lead now.  Not like a solo developer trying to do everything.  ---  Next: how I decide what to give my AI team — and what I keep for myself.  #ClaudeCode #AIAgents #BuildingWithAgents #SoftwareDevelopment #AI #AgentSwarm

In today's fast-paced development cycles, speed, accuracy, and collaboration are crucial. 🔍 API testing has evolved significantly, and Hoppscotch is at the forefront with its AI-powered API testing suite. This innovative tool provides real-time suggestions, streamlining the testing process. Hoppscotch's AI-powered suite supports automated testing, documentation, and monitoring, making it an indispensable asset for developers. Read more: https://lnkd.in/g_EfSYbA #APItesting #AIPowered #SoftwareDevelopment #Hoppscotch #DevOps

Traditional cross-browser testing is a slow, manual grind. It's adding hours, sometimes days, to release cycles. Automation changes that completely. It lets you run tests on dozens of devices and browsers in minutes. No more guessing whether your app works everywhere. No more firefighting after release. Automated testing isn't just faster. It's smarter. It catches issues before they hit production. In the end, if you're not automating cross-browser testing, you're risking your release velocity and user experience. Build it into your CI pipeline. Use device farms or emulators. Make multi-device testing a continuous process. Your users demand it. Your delivery depends on it. Stop testing manually. Start automating smartly. That's the only way to keep pace in today's device-rich world. #TestAutomation #CrossBrowserTesting #CI/CD #QualityEngineering #DevOps