Recently active topics

🎓 Course Overview: Generative AI for TestersGenerative AI is revolutionizing software testing, transforming it from a futuristic concept into a present-day necessity. To equip testers with the skills needed to navigate this evolving landscape, Tricentis presents the Generative AI for Testers course. This interactive mini-course is designed to help testers understand, apply, and benefit from Generative AI in their testing processes.📁Structure of the course: Introduction to Generative AI for Testers Deep Dive Leveraging LLMs and Mastering Prompt Engineering Implementation Strategies and What Comes Next🧠 What You'll LearnBy the end of this course, you will be able to: Explain the fundamentals of Generative AI, how it differs from traditional AI, and its role in software testing. Identify and apply AI-powered testing techniques, including prompt engineering, in-context learning, and model selection. Evaluate the advantages, limitations, and biases of Generative AI models to make inf

MCP Certification course by Karthik K.K. COURSE INTROCourse description:This video series introduces QA professionals to the Model Context Protocol (MCP) — a powerful way to connect testing tools, data sources, and automation workflows with AI-driven efficiency. Across ten practical sessions, you’ll learn how MCP simplifies integration challenges, streamlines test execution, enhances reporting, and makes QA assets — from databases to UI tests — more accessible and maintainable. Whether you’re looking to modernize your existing frameworks or prepare for the future of AI-assisted testing, this course gives you the knowledge and hands-on skills to bring MCP into your QA practice.📁Structure of the course: Introduction Installing MCP Server UI Testing With Playwright MCP Server UI Testing VS Code CodeGen API Testing With MCP Server DB Testing With MCP Server File System MCP Server BDD Test Case Agent Test Management MCP Server Future State of MCP Server​​​​​✅CertificationComplete all chapt

Are you using AI in testing?Great, this article is for you.If you’ve just spent three months learning AI testing, this article is for you. If your company just spent the budget on AI tools and you’re still seeing production bugs, this is for you.Here is why:The industry wants  speed. Faster test generation. Faster automation. Faster execution. Faster Go-To-Market (GTM).But here is what twenty years in testing has taught me: speed was never the problem.Strategy was.AI is making us test faster. But faster bad testing is still bad testing.We are optimizing the wrong thingMost testers I mentor do not have a testing speed problem. They have a "we don't know what to test" problem.They have a "We use AI agents to test. Still have production bugs" problem. They optimize for coverage metrics instead of business risk.AI does not fix this (at least as of now).Without proper human oversight, it may amplify the problem.I recently spoke with a company leader who mentioned they automated hundreds of

You have access to a veteran. Has decades of experience. Available 24/7. Never tired. Never judging. Never too busy.And you are using them to write test cases.That is not just a missed opportunity. That is your career mistake.After twenty years in testing and mentoring 50+ testers, I see the same pattern everywhere. Testers open Gen AI, type a question, copy the answer, close the tab. Transaction complete. Growth? Zero.They are using a senior as a copy machine.And they wonder why they are stuck. For years in the same role.You are asking the wrong questionsJunior: "What is the answer?"Senior : "Am I solving the right problem? What am I missing? Why did I approach it this way?"Did you see the difference ?Most testers ask junior questions to AI and get junior answers. Then complain AI is not useful.The tool is not the problem. The question is.Stop asking AI to do your work. Instead, start asking AI to challenge your work.Example from my experience with AILast year I was reviewing test cas

qTest's AI Chat and Agentic Test Creation agent are now available! With agentic AI authoring your manual tests, you’ll generate tests faster than ever, adapt to changes in real-time, and ensure you’re always prioritizing what matters most.These new capabilities are available to you directly in the qTest UI, providing you seamless access to agentic test authoring without interrupting your familiar workflows.You can interact with the AI Chat to ask about requirements and coverage, generate new tests, link existing ones, and more with the AI Chat acting as your software quality assistant.The Agentic Test Creation agent is much more than your typical generative AI. Built on Tricentis’ history and expertise in software quality engineering, it understands and leverages context from your environment, including your requirements and tests. Combined with quality best practices and software development understanding, this prevents coverage blind spots that allow defects to slip through into prod

Commit → Requirement → Test, with rationaleLet an LLM act as your scribe, not your boss: feed it your latest PR title/description + changed file paths, along with a small export of linked Jira requirements and qTest test cases. Ask it to draft trace‑notes that (1) suggest links between the change, the relevant Jira story, and the specific qTest tests, and (2) include a one‑sentence, human‑readable reason (e.g., “touches billing/tax_calc.py → Story ABC‑123 ‘VAT rules’ → Tests tagged [Billing] VAT edge cases”). This fits neatly into normal QA flow because qTest already supports real‑time Jira traceability and lets you attach links/notes at the requirement, test case, and test run levels—so you can record the AI’s suggestion and rationale where your team actually looks during triage. It’s also timely: recent studies show LLMs can outperform classic IR methods for trace link discovery (when framed correctly) but still benefit from human-in‑the‑loop review—perfect for decision support, not

In my career, I learned a hard lesson: software changes faster than our ability to test it fully. Every time the product grew, our test suite grew with it. Regression started taking longer, the CI pipeline became heavier, and the signal-to-noise ratio got worse. Even after running thousands of tests, we still shipped issues that hurt users, like payment failures, broken login flows, performance drops, or a small configuration change that quietly broke a core integration.What made this even more frustrating was that the failures were rarely random. When I looked back at incidents and defects, I could see patterns. Bugs kept showing up in the same kinds of places: complex modules, frequently changed code, fragile integrations, and areas where requirements were unclear or changing. But our testing approach did not reflect that reality. We often treated releases like they carried the same risk everywhere, so we spread our time evenly and hoped coverage would save us.That is where Predictiv

Agentic Test Automation extends Tosca with custom agents purpose built for your enterprise applications. With these new capabilities, Agentic Test Automation grows its supported application technologies and leverages Tosca’s automation capabilities for easier, more maintainable testing. With Agentic Test Automation, you can:Generate tests faster for your end-to-end processes using purpose-built, agentic AI. Test across enterprise technologies end to end, including SAP and web applications. Reduce maintenance by analyzing existing modules, adapting them, and merging to intelligently reuse across tests.Tosca customers are entitled to a limited number of prompts for Agentic Test Automation.  To take advantage of Agentic Test Automation, Tosca customers must be on Tosca cloud deployment or hybrid environment.We are also announcing our cloud-native Tricentis AI Workspace, a centralized hub to build, manage, and coach AI agents across the software delivery lifecycle. AI Workspace brings toge

Tricentis is expanding its agentic portfolio — and setting a new standard for AI-driven testing.Our new Agentic Test Creation brings agentic AI-powered test design and analysis to qTest. In Tosca, Agentic Test Automation is growing its supported technologies and using Tosca’s automation engine for more reliable agent-authored tests. Both solutions will work with our cloud-native Tricentis AI Workspace, a centralized hub to build, manage, and coach AI agents across the SDLC. With this portfolio, customers gain: Agents that work across Tosca and qTest for faster, smarter testing A unified command center for agent oversight and governance Scalable, AI-driven quality built for modern delivery demandsWe’re kicking off an AI product release webinar series to give you a first look at our latest capabilities. The series begins with:March 12: Agentic Test Creation: AI-driven creation, analysis, and management March 17: Agentic Test Automation update: Intelligent orchestration across technologie

In the previous chapter, I introduced the 5W1H AI agent framework and explored What AI agents are, How they work in testing contexts, and Why they matter.Now, we will dive deeper into this framework to understand When to use them, Where they fit, and Who provides agentic capabilities.When to Use Which Level of Agent?Agents come in various levels.  Each level solves a different type of problem. Some follow fixed rules. Some help you think. Some run tasks on their own. You need to select the level that fits your workload, risk, and control needs. This section will break down what each level does and when you should use it.Level 1: Rule-Based Systems (Traditional Agents)These are traditional automation agents that operate on predefined rules and logic. You can also call them as “Pre-LLM era” agents or traditional agents. Built using: Programmable rules. Fixed conditions. If-else logic. Behavior:Executes tasks exactly as programmed No reasoning capabilities (as they are not built using LLM

I bet you all like free courses!We’re cooking up some Udemy-style exclusive courses (totally free) just for the community.We want you to define what they’ll cover.👉 What topics would actually be useful for you? Drop your ideas below — we’ll build the stuff you really want to learn.

The AI wave hits software testing2024 was a wild ride for anyone working in tech. AI seemed to explode overnight, and suddenly everyone was talking about how it would transform software development and testing. The Model Context Protocol (MCP) came out in late 2024, and that really accelerated things, it standardized how AI models can connect to external tools and data sources, making AI a lot more practical for day-to-day work.What struck me most was how different this felt from earlier waves of core Machine Learning and Deep Learning. Back then, you needed a strong background in statistics and mathematics to get something useful of it. Now? Pretty much anyone can spin up an AI assistant and get real work done. I have seen product managers, junior engineers, and even folks from completely non-technical backgrounds successfully using AI to solve problems that would have required specialized skills just a couple of years ago.2025 became the year where we all stopped playing around and s

We are thrilled to announce that ​@ujjwal.kumar.singh has been selected as the ShiftSync User of the Month for January 2026!Why ​@ujjwal.kumar.singh ?Ujjwal has consistently demonstrated exceptional engagement and contribution to the ShiftSync community. Whether helping other members, sharing insightful tips, or providing valuable feedback, Ujjwal has been an invaluable part of our platform.Ujjwal’s sustained enthusiasm and expertise have made a significant impact on our community culture and collective knowledge.Highlights of Ujjwal's Contributions:Active participation in community discussions and solution sharing. Providing thoughtful and constructive feedback on feature updates. Leading webinars and helping new users get acclimated with the platform. Contributing insightful articles and how-to guides on performance engineering and system optimization.As User of the Month, @ujjwal will receive a special badge on their profile, a shareable certificate, and a customized ShiftSync swag

Do not prepare for interviews.Prepare for the job. Prepare the value you will add. If you are still preparing for interviews in 2026, you are already behind.Here is why:AI can coach anyone on interview questions now. Online courses teach you tools in 30 days. Anyone can be trained to "answer well." But here is what twenty years in the testing industry has taught me: interviewers don't hire you for good answers. They hire for your proof of impact and potential.They want to see what you have actually delivered. What have you improved? What have you learned and applied? What value did you add?That's what stands out. That’s what hiring managers like me expect.The Smartest Preparation Starts Before You Need a JobMost testers apply for roles first. Then they try to fit themselves into the requirements.Actually, it’s backwards.Self-awareness:Before you apply for a position, do a personal SWOT analysis.Know your actual strengths - not the ones you think employers want to hear. Understand your