Technology

Agentic AI Test Execution Inside Jira with Xray and Lynqa

Jul 14, 2026 By Mariana Santos In Xray

AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.

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The Gap Between AI-Capable and AI-Ready

Jul 14, 2026 By Tena Coppedge In Hitachi Vantara

Most enterprises are spending on AI faster than they’re becoming ready to run it. Over the next two years, IT leaders plan to grow their AI investment by 70%, according to our 2025 State of Data Infrastructure Global Report. The capability keeps arriving. The readiness to operate it does not keep pace.

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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.

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Katalon

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Your Guide to Perforce Autonomous Testing

Jul 13, 2026 By Perforce In Perforce

Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.

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Why Most AI QA Strategies Fail Before Testing Even Starts

Jul 13, 2026 By Hemraj Bedassee In Testlio

A lot of teams think their AI quality problem begins when the first test run starts but it usually begins much earlier.

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Testlio

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Zero Data Loss: Migrating Thousands of Microservices

Jul 13, 2026 By Confluent In Confluent

OCBC migrated thousands of microservices, batch jobs, and monolithic applications across multiple regions in just six hours with zero data loss. George Goh shares how six months of planning enabled flawless execution.

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Node.js Debugging in VS Code and Chrome DevTools

Jul 13, 2026 By Aleix Ventayol In Bugfender

Node.js debugging allows us to identify and fix errors, unexpected behavior, and performance issues in server-side JavaScript applications. Instead of using the less precise console.log, we can connect a real debugger and control execution step by step. Most Node.js developers actually use one of two distinct setups: This guide will show you how to use both technologies, with a clear step-by-step workflow for each.

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Introducing a Smarter Path to Intelligent Testing With Perforce Autonomous Testing

Jul 13, 2026 By Perforce In Perforce

Software teams are under constant pressure to release faster. Yet testing, the safeguard that protects quality, has not kept pace with modern delivery speeds. More code and shorter sprints overwhelm QA capacity, while fragmented tools and late-stage performance checks create bottlenecks that slow everything down. The question is not whether testing needs to evolve. The question is how to evolve without a costly rip-and-replace of your existing stack.

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Enterprise test management: Should you build or buy in the age of AI?

Jul 13, 2026 By Klaudia Makiej In SmartBear

AI has opened the door for teams to build tools they previously had to buy. With the right prompts and internal workflows, teams can generate test cases, summarize results, analyze defects, and automate parts of the testing process faster than ever. For enterprise QA and engineering leaders, that raises a practical question: “should we build our own test management layer, or adopt an AI-powered test management platform?” It’s a fair conversation to have.

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SmartBear

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Will AI Replace Manual Testers? Katalon's Data Says the Story Is More Complicated

Jul 13, 2026 By Monty Bagati In Katalon

If you only follow the loudest headlines, it is easy to believe AI is about to wipe out manual testing. Katalon's State of Software Quality Report 2025 tells a more useful story, and it comes from inside the industry: over 1,500 QA professionals, from individual contributors to senior executives, across North America, Europe, and Asia-Pacific.

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