Quality = Retention: What Really Happens When a Game Crashes
With thousands of titles competing for a sliver of player attention, the margin for technical error in the modern gaming market has evaporated.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
The Dangerous Power of Local AI Agents. #speedscale #proxymock #aiagents #openclaw #localai
I’ve been testing OpenClaw, a fully autonomous agent that lets you remote control your entire system via Signal. It’s incredibly powerful to text your computer from a coffee shop and have it execute tasks, but you’re essentially handing the keys to your digital kingdom to an LLM. The Golden Rule: Trust, but verify. I’m using Proxymock to sniff every single API call going in and out of the agent. If there’s a data leak or a "hallucination" that tries to wipe my drive, I see it first.
Best Automated Mobile Testing Tools in 2026 (Top 10 Compared)
When choosing a mobile testing tool, consider: It's about choosing the mobile testing tool that fits. If you're still in consideration stage, we've got you covered. Here is a list of the best automated mobile testing tools and frameworks out there for you to try, with pros and cons listed to help you make informed decisions. Smart Summary Navigating the landscape of automated mobile testing tools requires aligning capabilities with team expertise and project requirements.
Top 36 web testing tools
It began with a confident release that looked perfect in development and staging environments. Within hours, users on a specific browser started reporting broken workflows that no one on the team had anticipated. The feature behaved exactly as expected on Chrome, yet failed silently on other browsers due to subtle compatibility issues. That experience highlighted why top web testing tools are essential for QA engineers and developers building modern web applications.
Why Quality Assurance (QA) is the New Risk Shield for Salesforce in 2026
The world of Salesforce is changing fast and so is the job of Quality Assurance (QA). It used to be that QA was just the team that checked if a new feature worked correctly right before it went live. Think of them as the final proofreaders. But with powerful new tools like Agentforce (Salesforce’s smart agent system) and a huge focus on Data 360 (getting all your data in one trusted place), QA has become something much more important: the main way your company avoids major problems.
How should customers perceive Katalon today compared to five years ago?
Katalon has grown from a standalone test automation tool into a full end-to-end quality platform covering authoring, execution, reporting, analytics, and even production monitoring. And unlike 5 years ago, it now leads the way in AI for software testing — providing the natural counterpart to the rapid rise of AI in software development. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!
Sauce Labs Product Roadmap 2026: AI-Driven Path to Quality
Discover what's next for continuous quality testing! Join Larry Goldman (Director of Product Marketing) and Ed Lavalette (Senior Product Manager) as they unveil Sauce Labs' exciting 2026 roadmap and dive deep into new AI-powered testing innovations.
Top 5 AI-Powered SAST Tools for 2026
Static Application Security Testing has survived multiple cycles of skepticism, reinvention, and disappointment. For years, SAST was criticized for producing noise, slowing development, and failing to reflect real-world risk. Yet in 2026, SAST has not disappeared. It has changed its role. The shift is not that static analysis suddenly became perfect. It is that organizations finally stopped asking SAST to do the wrong job.
10 Benefits of automated testing
After spending hours or even days manually testing your software, you may be wondering whether or not there’s a better way. The good news? There is.
Why transparent AI is the only AI you can trust in QA
AI fosters speed. Transparency fosters confidence. AI for QA testing is suddenly everywhere. Every tool claims it’s “AI-powered.” Every demo promises smarter test generation, faster maintenance, and fewer bugs. Plus, with AI accelerating the pace at which developers write and ship code, QA leaders are under growing pressure to keep up. It makes sense that teams are looking for AI for QA testing. But here’s the uncomfortable truth: AI in QA only works if you can trust it.