Systems | Development | Analytics | API | Testing

bugfender

Rubber Duck Debugging: How to Find and Fix Logic Bugs

Jun 26, 2026 By Aleix Ventayol In Bugfender
Rubber duck debugging allows us to discover our own coding errors by retracing our steps. Instead of relying on complex black-box tools, we simply explain our own logic until the problem reveals itself. This is one of the most straightforward debugging techniques around, and it can be easily enhanced by AI tools.
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loadfocus

The Impact of Network Latency on Cloud Load Testing Accuracy: Why It Matters in 2026

Jun 26, 2026 By LoadFocus In LoadFocus
Despite years of progress in cloud testing platforms, network latency remains the most stubborn – and often ignored – variable in load testing reliability. A recent study highlights that network latency can skew load test results by as much as 30%. That’s not a rounding error; it’s the difference between a site that passes in the lab and one that buckles under real-world traffic.
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keploy

12 Best UAT Testing Software Tools In 2026

Jun 26, 2026 By Keploy In Keploy
Passing automated tests doesn’t always mean your software is ready for users. Many issues only surface when business stakeholders interact with the product in real-world scenarios and validate it against actual requirements. That’s where UAT testing software comes in. It helps teams manage test cases, collaborate with stakeholders, track defects, and streamline the final approval process before release.
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Digital Twins for Devs & AI Agents - Record, Replay & Catch Regressions | Keploy

Jun 25, 2026 By Keploy In Keploy
Give your developers — and your AI agents — a digital twin of your live environment. Keploy records real traffic from your live services (no production access, nothing to spin up) and replays it as a faithful twin, so you can continuously verify behavior and catch regressions before they ship. In this demo: record a live service, turn that traffic into integration tests and mocks automatically, replay everything against digital-twin sandboxes, and wire it into CI for continuous verification.
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Build resilient end-to-end tests with AI agents in SmartBear Reflect | Demo Den

Jun 25, 2026 By SmartBear In SmartBear
See how SmartBear Reflect uses agentic AI to build end-to-end tests in minutes and keep them resilient as your application changes. In under 20 minutes, Reflect co-creator, and SmartBear Director of Product Management, Todd McNeil walks through live test creation across web and mobile, with zero fluff.
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databox

New: Trusted data for the people and the AI making decisions on it

Jun 25, 2026 By Monise Branca In Databox
Ask three people in your company to pull the number of active customers this month, and you’ll probably get three different answers, even though each person labeled the metric the same way. One counts everyone who logged in, another counts only paying users, and a third filters down to a single plan tier. Nobody is wrong here. They’re all working from real data; they just never agreed on a single definition. Do that enough times, and the data itself becomes the thing everyone argues about.
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smartbear

Automated testing vs. autonomous testing

Jun 25, 2026 By Rob McNeil In SmartBear
Autonomous testing is one of the most talked about developments in software quality right now. It shows up in analyst reports, vendor pitches, conference talks, and job descriptions – often in the same breath as automated testing. Most of those conversations treat the two as interchangeable, or worse, position autonomous testing as simply a smarter, more advanced version of what teams already do.
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