Systems | Development | Analytics | API | Testing

The latest News and Information on Software Testing and related technologies.

katalon

How to Test AI Applications Manually: A Playbook for Hallucinations, Bias, and Non-Deterministic Outputs

Jul 13, 2026 By Depa Panjie Purnama In Katalon
You have tested hundreds of features. You know the drill. Open the test case, write the preconditions, list the steps, fill in the expected result, run it, compare. Pass or fail. Move on. Then someone hands you an AI feature. A chatbot. A "summarize this ticket" button. A search box that answers in full sentences instead of returning a list of links. You open your test case template, you get to the "expected result" field, and you stop.
Read Post
keploy

Maintenance Testing: Types, Challenges & Tools (2026)

Jul 13, 2026 By Keploy In Keploy
Last month, a two-line bug fix took down three unrelated features in a colleague’s app. The fix itself was correct — it patched a null check on a checkout API. Nobody re-ran the tests for the inventory service that depended on it, and by Monday, support tickets were stacking up. That gap is exactly what maintenance testing exists to close. Maintenance testing is the QA work you do after software ships — testing every bug fix, upgrade, patch, or migration to confirm nothing else broke.
Read Post
loadfocus

News Analysis 2026: How AI Performance Testing Tools Are Transforming Software Quality

Jul 10, 2026 By LoadFocus In LoadFocus
This summer, leading performance testing platforms have introduced a new wave of AI capabilities that are fundamentally changing how software teams validate application speed and reliability. Rather than incremental updates, these advances mark a step change: AI performance testing now enables faster test creation, greater accuracy, and wider accessibility across teams.
Read Post
xray

How Xray's AI Test Prioritization Helps Teams Focus on High-Risk Tests

Jul 10, 2026 By Mariana Santos In Xray
Test execution is one of the most time-sensitive stages of software delivery. Teams are expected to validate functionality, ensure stability, and support release decisions within increasingly shorter development cycles. Even with strong automation in place, there is rarely enough time to execute every Test before a release. This makes prioritization a critical part of the QA process.
Read Post

Validation through Visual and Functional Harmony

Jul 10, 2026 By Sauce Labs In Sauce Labs
Validation Simplified: Flake‑less Releases with Smart Visual Comparisons Diego Molina, Selenium project lead and Sauce Labs senior field solutions engineer, explains how “validation simplified” combines functional automation with visual validation to deliver flake-less, intent-based confidence for releases. He demonstrates how overly detailed assertions can lead to brittle and flaky tests, while visual checks can reduce verbosity and ensure a consistent user experience across various browsers and mobile devices..
View Video
keploy

What Is A Test Bed In Software Testing? A Practitioner'S Guide

Jul 10, 2026 By Keploy In Keploy
Every tester has lost an afternoon to an environment that would not behave. The code was fine. The suite was fine. The problem was the ground the tests ran on. That ground has a name, and getting it right is quietly one of the highest leverage things a QA team can do. It is called a test bed, and this guide walks through what it is, what goes into one, why it tends to fall apart, and how teams keep it stable without babysitting infrastructure all day.
Read Post
speedscale

AI writes code in seconds, but delivery still takes days

Jul 9, 2026 By Ken Ahrens In Speedscale
The pitch for AI coding was speed. Claude Code, Copilot, Cursor, whatever you’re running, they all generate business logic faster than you can review it. That part is real. But look at what happens after the code gets written and the numbers get ugly. CircleCI’s 2026 State of Software Delivery Report found AI drove a 59% increase in average throughput.
Read Post
zymr

AI in Neobanking: From Chatbots to Credit Scoring - What Actually Works in 2026

Jul 9, 2026 By Suhas Phartale In Zymr
AI is no longer an experimental layer in neobanking. It is becoming core infrastructure. Fraud monitoring, onboarding, credit decisions, customer support, and compliance workflows are now increasingly driven by AI systems operating in real time. But here is the problem. Most fintech content treats every AI use case as equally mature. That is far from reality. Some AI investments already deliver measurable ROI in production. Others still sit in the demo stage with unclear business impact.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.