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

Autonomous doesn't mean unsupervised: Trusting agentic QA without losing oversight

Sep 23, 2026 By Bridges Smith In SmartBear

AI agents review code, triage incidents, summarize tickets, and draft documentation, and the industry has largely decided the help is worth having. Leadership is often pushing teams for AI productivity gains and many teams accept the mandate. The obstacle is what happens next: the agent works on the wrong thing, the time and money spent on it return nothing, and the team ends up less efficient than before it started by creating more work.

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Imaginary Test Data. Real Token Bill.

Sep 22, 2026 By Alan Mon In Speedscale

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass. But when real users arrive, with messy histories, incomplete inputs, odd request sequences, and unpredictable timing, the application has to improvise. And improvising is expensive.

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Speedscale

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Humans at the Frontier

Sep 22, 2026 By Summer Weisberg In Testlio

When top leaders from AI frontier model companies, who are often seen as competitors, come to a resounding agreement that AI development needs to slow down, we need to listen.

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Testlio

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Insurance Workflow Automation: From RPA to Straight-Through Processing - The 2026 Maturity Model

Sep 21, 2026 By Sitanshu Joshi In Zymr

Insurance workflow automation connects data, applications, business rules, and approvals across insurance operations. It reduces manual handoffs across claims, underwriting, billing, and policy servicing the same discipline behind Zymr’s work in the adjacent fintech and BFSI space. RPA automates repetitive tasks but cannot manage complex, end-to-end decisions independently.

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Zymr

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Performance Testing Security: A 2026 Imperative

Sep 21, 2026 By Bogdan In LoadFocus

Performance testing security in isolation is no longer sufficient. Security vulnerabilities often emerge under peak load, when systems are most exposed. Testing for both performance and security, together and under stress, is now a baseline requirement for organizations that prioritize resilience.

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LoadFocus

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The Dark Matter of Payment Testing: The Risk Hiding Outside Your Test Suite

Sep 21, 2026 By Hemraj Bedassee In Testlio

One thing I keep coming back to when thinking about payment quality is that we naturally measure what we can see.

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Testlio

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Boosting API Throughput for Financial Platforms

Sep 20, 2026 By Bogdan In LoadFocus

The most effective way to improve API throughput is a pragmatic mix of measurement, understanding provider constraints, and targeted engineering fixes. Always weigh throughput gains against their impact on reliability and user experience. Sustainable performance comes from addressing bottlenecks at every layer, not just tuning the API in isolation.

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LoadFocus

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Guide to Load Testing Multi-Tenant SaaS Applications (2026)

Sep 19, 2026 By Bogdan In LoadFocus

Multi-tenant SaaS applications require a fundamentally different approach to load testing. Standard scripts that ignore tenant boundaries often miss critical issues. Tenant-aware load testing is essential for accurately measuring both overall performance and the integrity of data isolation. Without this, subtle forms of cross-tenant data leakage or resource contention may go undetected, especially under realistic, mixed-tenant workloads.

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RAG in Quality Engineering: Ship Faster, Test Smarter | Janani Balasubramanian

Sep 19, 2026 By The Test Tribe In The Test Tribe

How can Retrieval-Augmented Generation (RAG) help Quality Engineering teams ship faster and test smarter? In this TTTribeCast session, Janani Balasubramanian explores the practical applications of RAG in Quality Engineering and how teams can use organizational knowledge, testing data, and engineering context to improve the way they design, prioritize, and execute testing.

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Team-Based DLP: Give Each Group Its Own Redaction Rules

Sep 18, 2026 By Matt LeRay In Speedscale

A shared Kubernetes cluster rarely belongs to one team. Payments runs checkout in one namespace, search runs search-api in another, and a risk team runs a scorer somewhere else. One Speedscale forwarder captures API traffic for all of them. Redacting that traffic before it leaves the cluster is what makes it safe to use for testing (the background is in The PII Testing Dilemma). Until now, that forwarder ran exactly one DLP rule. Every team that needed a field redacted had to edit the same JSON document.

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