DevOps Aviator brings generative AI into software delivery to help test teams move sooner, reduce manual effort, and get answers faster. It is part of the broader Aviator suite: a set of AI capabilities embedded across OpenText products.
Let’s be honest, testing is what teams do when they don’t trust their developers. It’s a tax on speed, a relic from waterfall days, and a crutch for people afraid to ship. It just slows down releases, kills creativity, and wastes budget that could be better spent on another sprint.
You walk into a room where people are talking about the exact problems you wrestle with: tricky deployments, clunky processes, and how to test faster. Sometimes, the right conversation with the right person is enough to unlock a solution or a possibility you hadn’t even considered.
With 26.1, OpenText is giving you something concrete: Python‑based automation, AI‑assisted verification, and cloud labs that fit into your existing CI/CD. This turns functional testing from a separate QA activity into a shared capability that developers, SDETs, and testers can all contribute to.
OpenText’s version 26.1 is a clear statement of where the Performance Engineering (LoadRunner) family is heading: AI-assisted, simplifying complex tasks and enabling your team to be more productive. This creates a very practical question: how do you buy and deploy these new capabilities in a way that actually moves the needle on risk, cost, and delivery speed?
For almost 30 years, LoadRunner has set the standard for performance testing and been relied on by organisations of all shapes and sizes. Now, LoadRunner has released a bespoke AI solution that will take performance testing to a whole new level.
Picture the scene: you’re about to engage a consultancy for testing services, and their proposal leans heavily on open‑source tools, but there’s a nagging doubt… a misalignment between what you’re paying for and what they’re delivering.
You want the guidance and support to prevent costly mistakes; they want more billable days.
With Calleo, you get expert guidance to find the right options, demos and trial licenses to evaluate them, and practical help to get up and running. You’ll see the pros, cons and long-term costs clearly before making any decisions, and stay supported with renewals and updates long after you’ve started using the tool.
Automation maintenance is a pain. It’s a frustrating time drain that nobody enjoys. Unfortunately, teams are doing more of it than ever, with modern solutions changing like the wind and each new release jeopardising script integrity. Thankfully, AI-driven automation is here to help.
Thanks to your support, 2025 was another excellent year for Testing Times and our 10,000+ subscribers. We explored a wide range of software testing topics, including test automation, performance testing, Jira fatigue, tester authority, and more. Below is a quick look at the five newsletters with the most reactions this year, and why they resonated so strongly.
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