Discussions

By Aurélien Lair, Co-organiser at CTMI remember the first time I tried to navigate one of my own applications using just a screen reader. It was a humbling and frankly, frustrating experience.As testers, we spend our days obsessing over performance, security and UI consistency. Yet, far too often, we treat accessibility (a11y) as a mysterious, specialised discipline that requires "expert" status to even begin.I remember this coming up at our meetup. This topic sparked a deep discussion (resources, time, costs, you name it) as it is an industry-wide challenge. But the consensus was clear: accessibility shouldn't be treated as a separate job for a specialized team. It’s a core piece of quality engineering. If we are serious about building software that serves everyone, we can’t ignore the barriers that many users face simply because they don't fit our "standard" testing scenarios (1.3 billion people or 16% of the global population experience significant disability according to the World

The Challenge of Salesforce TestingSalesforce is a powerful but complex platform, and testing it can sometimes feel like finding your way through a labyrinth. QA engineers often face tedious, repetitive test scenarios that must cover countless combinations of objects, fields, and user permissions. Manually clicking through each scenario (or writing long Selenium scripts) isn’t just time-consuming; it’s also prone to human error and difficult to maintain. Every time Salesforce updates or a business process changes, testers may spend hours updating scripts or re-running manual tests to ensure nothing broke.Sound familiar? If you’ve ever had to verify every picklist value for every user role, or retest a 100-step flow after a minor change, you know the pain. Even traditional automation can require a whole team of experienced coders building and fixing scripts. It’s enough to make any tester reach for a third cup of coffee! ☕️But what if testing Salesforce could be smarter, faster, and (da

In the ever-evolving world of software testing, AI is opening up transformative possibilities for QA teams. Tricentis has leveraged its years of AI innovation (from Vision AI to self-healing tests) to introduce Agentic Test Automation – an AI-powered “co-worker” embedded in Tricentis Tosca that can autonomously generate and execute test cases from natural language descriptions. This advanced capability is poised to revolutionize how QA engineers and software testers design automated tests, addressing modern challenges of scale and complexity in software delivery.Modern Testing Challenges and the Need for AI AssistanceDevelopment cycles are accelerating and codebases are growing larger than ever. With the advent of generative coding tools, developers can produce code at unprecedented speed – but this leaves QA teams scrambling to test more functionality in less time. Moreover, AI-generated code can introduce unexpected issues and variations, demanding smarter testing strategies. Traditi

After attending Oracle AI World, one thing is clear: Oracle is all in on AI. From embedded agents across Fusion Applications to the AI-native Oracle Database and OCI’s massive model-training capabilities, Oracle is positioning itself as the platform where enterprise AI comes to life.The energy was infectious. Every session, demo, and conversation carried a sense of acceleration: faster decisions, faster workflows, faster innovation. But beneath the excitement, one question kept coming up in my mind (and in quiet side conversations with customers and prospects):How do we move fast with AI without breaking what’s already working?That’s where Tricentis comes in. (Learn how in our webinar, Future-proof your Oracle automation.)Ensuring confidence in Oracle’s AI-powered worldAs Oracle weaves AI deeper into its ecosystem, the complexity of change multiplies. New agents, new data pipelines, and new user experiences mean constant updates and constant risk: of broken processes, data discrepancie

In today’s DevOps-driven world, QA teams are expected not only to test for functionality but also for performance under real-world conditions. How can we ensure our performance tests reflect what happens in production? One powerful approach is to integrate Application Performance Monitoring (APM) tools like DataDog directly into performance testing workflows. This article explores why this integration is so important and how it works in practice – in particular, how Tricentis NeoLoad (a performance testing tool) works hand-in-hand with DataDog’s APM. We’ll break down the technical details (tagging virtual users, data flows, API keys) in an accessible way and highlight the big benefits for QA testers and developers. Let’s dive in!Why Combine APM with Performance Testing?Performance testing and APM are a natural fit. APM tools such as DataDog are traditionally used by IT Operations to monitor apps in production – tracking metrics like CPU usage, memory, database response times, etc., to

Are you attending Tricentis Transform 2025? It's Tricentis’ biggest event of the year, bringing together quality engineering leaders, experts, and community members from around the world.If you’ve already purchased or planning to purchase your ticket – we’ve got a surprise for you! 📸 Post a photo or a short impression from the event in this thread, and we’ll make sure you get the gift.No code or registration needed. Just share your experience, be part of the community moment, and get rewarded.And of course, stop by and say hello to the Tricentis team on the day of the event.We can’t wait to see you in London or Nashville — both in person and in the thread! 😊

Hi everyone,Thank you to all who joined my session “AI Took My Job, So I Took Its Seat at the Table.” It was an absolute pleasure sharing my journey of how a single question from a CTO — “Why do we need human testers when GPT can generate test cases in seconds?” — led me to rethink the role of testers in the age of AI.If you couldn’t make it to the webinar live, the recording is now available hereIn the session, we explored: How AI can accelerate certain testing tasks Where it still falls short without human judgment Why the true value of a tester lies in asking the questions AI cannot imagine Now, I’d love to keep the conversation going. This thread is your chance to: Share your own experiences with AI in testing Challenge my perspective Ask me any follow-up questions you didn’t get to ask during the webinar Here’s the recording of the Q&A section that happened at the end of the webinar:  Feel free to drop your questions in the comments below. I’ll be here to respond and e

Modern QA and DevOps teams are increasingly shifting performance testing to the left – executing load tests earlier in the development cycle to catch issues sooner. Integrating Tricentis NeoLoad into continuous integration (CI) pipelines makes this possible by automating performance tests as part of your build and deployment process. In this article, we’ll explore how to use NeoLoad with CI pipelines (as highlighted in the Tricentis Expert Session webinar on this topic) and cover key insights from the webinar’s technical demo. We will discuss why early performance testing is important, how the NeoLoad CLI enables CI integration, a recap of executing NeoLoad tests via command line and Jenkins, GitOps-style management of test assets in source control, automating test analysis/reporting, and best practices to achieve scalable, continuous performance testing in your pipelines.Why Shift-Left Performance Testing MattersTraditionally, performance testing was done late in the software lifecycl

Performance can't be an afterthought in today’s CI/CD-driven world. Teams shifting perf tests left report ~30% testing time savings.Performance testing is evolving fast. What used to be a late-stage gatekeeping step is now becoming a continuous, integrated process. As teams adopt modern architectures like microservices and shift toward CI/CD pipelines, performance issues can surface earlier and more frequently.In response, new trends are shaping how we test under pressure.Vote and let us know why you chose that option in the comments down below – we’d love to hear your perspective.

Once feared as a job-stealer, AI is now being welcomed as a helpful co-pilot in QA, with 75% of organizations investing in it to speed up testing and boost quality. QA professionals across performance, load, functional, and exploratory testing are all curious (and maybe a bit excited) to see how AI might make their work easier.Vote and let us know why you chose that option in the comments down below – we’d love to hear your perspective.Poll Question:

We are excited to introduce Tricentis Transform 2025 — our boldest, most ambitious conference yet. Taking place in London and Nashville, this global event is designed to explore how AI is revolutionizing the way we build, test, and deliver software.We are looking for engaging speakers to inspire, educate, and lead the industry forward. Whether you’re a seasoned expert or an aspiring presenter, this is your chance to share your insights with a global audience.Topics of interest include:How you are using Tricentis products to drive innovation and business success Best practices and strategies for overcoming software testing challenges Lessons learned from implementing AI and advanced automation in testing workflows Key takeaways from your testing transformation journeyBe part of history! This is more than a conference—it’s the next evolution of quality engineering events.Submit your speaker proposal by June 1, 2025. 

Help Us Shape Future Webinars: Vote for Your Preferred Topics! Dear ShiftSync Community,We are committed to delivering valuable and relevant content through our webinars, and we need your input to ensure we're covering the topics that matter most to you. Please take a moment to vote for your preferred webinar topics from the options provided below: If you have other topics in mind that you would like us to cover, please share your suggestions in the comments below. Your feedback is invaluable in helping us create content that meets your needs and interests.We look forward to hearing from you and appreciate your participation in making ShiftSync webinars even better!

Before we start, I would like to let you know that a challenge will be coming soon and will be posted here on ShiftSync, where you can participate in it for a chance to win a ShiftSync Giftbox. So stay tuned for that and drop a comment down below if you want to be a frontrunner in the challenge. Now, without further ado, let’s get on with the article. The tech industry has been talking about the applications of AI in testing for the last two decades. The rise of Generative AI brings AI closer to everyday testing tasks and challenges. We stand at the gateway into the future of software testing, a world where AI is a powerful assistant, instead of merely being a buzzword. As an active participant in the testing world, I can foresee AI will transform testing workflows, creating room for creative, efficient, and innovative approaches. In this article, let’s uncover different ways in which AI can be incorporated into testing, both creatively and precisely.  Learning The way we learn, and th

Greetings, ShiftSync Community!We are thrilled to announce a significant update that is set to elevate your experience within our forum: the implementation of our enhanced ranking system. At ShiftSync, our primary goal has always been to cultivate a vibrant and engaging community where members can connect, learn, and grow together. With this in mind, we've carefully crafted a revamped ranking system designed to recognize and reward active participation, valuable contributions, and meaningful engagement within our platform.Why the Change?As our community continues to flourish, we recognize the importance of providing members with more meaningful ways to showcase their expertise, dedication, and influence within our forum. Our previous ranking system served us well, but we believe that by introducing enhancements, we can better reflect the diverse talents and contributions of our members. This revamp aligns with our commitment to fostering inclusivity, encouraging collaboration, and cele

Below is a recap of our webinar with @dave Colwell, the Artificial Intelligence & Machine Learning VP at Tricentis. You can view the original in the link below, just be sure that you’re logged in 🙂  Is Generative AI taking over testing? David Colwell webinar recapThe 3 main questions Why do we need AI? How can we use AI?  How do we test AI?  1. Why do we need AI? Before we begin, we need to address the idea of the human attention span. Take a moment to consider these facts about attention across various demographics:  A human’s attention span, put simply, is not good. It gets even worse when you start putting multiple screens in front of someone, a common scenario for many of us today. We’ve found that the average person can hold roughly 7 pieces of information in their working memory at a time, give or take. With apps like TikTok and other distraction-heavy apps on the rise, this stat doesn’t seem like it’s going to improve any time soon. So how does this relate to AI? Consider w

What’s up, ShiftSync Community?Welcome to the first edition of “In Sync” a monthly digest where we highlight the latest and greatest of what’s going on in the ShiftSync community. So, let's take a fun ride through all the exciting stuff happening this past month, and a sneak peek at what's coming up. Buckle up!Discover Tailored Experiences: Community Zone and Tricentis Product Resources now live!Read about the newly introduced streamlined way to approach the community, enhance your experience and provide resources tailored to your interests.Spotlight on the Latest Videos & Webinars ​AI Automation for Manual Testers. Webinar by Dmitry Vinnik from MetaCheck out this insightful webinar where Dmitry Vinnik dives into how teams can supercharge their test automation efforts using Tricentis’ top-notch software development practices and tools. Discover how Tricentis solutions, like the AI-powered Tricentis Tosca, make it easy to integrate test automation—no coding required—while empowering

🎉 Exciting News! Introducing the ShiftSync Super User Program! 🎉 Dear ShiftSync Community,We're thrilled to announce the launch of the ShiftSync Super User Program, a special initiative designed to recognize and reward our most dedicated and helpful members! At ShiftSync, we believe that community is at the heart of everything we do, and we're incredibly grateful for each and every one of you who contributes to making our forum an informative and supportive space.After careful consideration and evaluation, we're delighted to introduce our inaugural batch of Super Users, who have consistently gone above and beyond in their contributions to the ShiftSync community. These exceptional individuals have demonstrated exemplary knowledge, helpfulness, and positivity, embodying the spirit of collaboration and support that defines ShiftSync.🌟 Introducing our ShiftSync Super Users: @brendon.russell  @nissyan  @raghunadh  @krischik   📋 Criteria for Selection:Our Super Users were selected

In today's world, whether you're on social media or diving into the tech universe, one term that resonates consistently is AI. It is not just technology; it's the art of empowering machines to think, learn, and innovate—ushering in a new era of boundless possibilities. In every domain, improving quality is crucial, and to achieve this, we conduct end-to-end testing, addressing all aspects of the testing cycle.  In this post, we'll explore how AI can assist us in testing, enhancing product quality with smart strategies. But before we plunge into the exciting exploration of Quality Assurance and analyse how AI transforms End-to-End Testing.Basics of AI, ML, and Generative AIBefore we dive into discussing the use of AI in testing, let's explore some complex terms that form the basis of AI. People often mix up terms like AI, ML, Generative AI, Code Generation, and LLMs, causing confusion. So, let's take a moment to clear up this confusion and untangle these concepts.Each term has its own s

This article is an overview of the Hexagonal Architecture webinar with @alistair_cockburn. You can view the webinar in its entirety here. Hexagonal ArchitectureHexagonal Architecture, also known as Ports and Adapters, is a design pattern that plays a pivotal role in modern software development. Its primary purpose is to create flexible and maintainable software systems by separating the core application logic from external interfaces and concerns. In this article, we will delve into the concepts and ideas discussed in a lecture on Hexagonal Architecture and explore its benefits, costs, and real-world applications. Introduction to Hexagonal ArchitectureAt its core, Hexagonal Architecture is about creating a clear boundary between the essential logic of an application and its interactions with external systems and interfaces. This separation allows developers to design software that is highly adaptable, testable, and resistant to change, making it an invaluable tool in the world of softw

By Larry Loeb, Veteran Technology Editor and AuthorBehold, the five best practices that can help maximize advantages while assisting with load testing in an Agile environment.1. Make performance SLAs a focus areaPerformance needs to be somewhere on the task board if the team is going to give it attention. Otherwise, it will get ignored. One effective way to ensure inclusion of performance is using your performance service level agreements (SLAs) as acceptance testing for each story. That means the story cannot be “done” if changes will cause the application to fall short of the SLAs.This discipline works well if the changes made to the story will affect a relatively small section of the overall code. The performance issues would, therefore, be confined to a portion of the application.For SLAs that are general across the entire application, tests should be added to a more extensive list of constraints (which may include functional tests) that will be tested for every story to determine