SLAs & SLOs: how you determine performance engineering success. Register Now →
Author: Ujjwal Kumar Singh, Senior QA Engineer · 8+ years in enterprise QA · beinghumantester.github.ioKey takeaways:Why a test run can pass every check and still hide a real defect between connected systems How experienced testers turn an unexpecte
AI test engineering | Master vibe testing, AI tools, and agents by Karthik K.K. TL;DR/ Key Takeaway:Learn foundational AI concepts for QA, including AI, machine learning, and large language models (LLMs). Explore prompt engineering and context engine
Your instructor Dave Westerveld:I have many years of experience in testing various types of software. I am based in beautiful Ontario, Canada and I love learning new things, and sharing what I’ve learned with others. I have worked in several differen
The Process is: I want to automate this process using ToscaCustomer calls a number Speaks order details System processes the order Confirmation is received
Generative AI for TestersBy Rahul ParwalIn this on-demand Generative AI for Testers session, you'll learn how to confidently apply Generative AI in software testing and quality engineering.TL;DR/Key TakeawaysLearn the fundamentals of Generative AI fo
AI Workspace can issue an MCP token, which connects your coding agent to it directly — Cursor, Claude Code, or Claude Desktop. Go to your profile, create a token, set an expiry of up to a year, and paste the configuration into your agent's MCP settin
The qTest MCP Server finds objects by name — requirements, test cases, runs, releases, suites, cycles, builds and defects. Give it the project ID once and it carries that forward. After that you're naming things: show me the Homepage module, get me d
AI-generated test cases are fast but imperfect. The typical response is to have a human review them: slow, manual, and easy to skip under deadline pressure.A better pattern is to build a validation workflow in AI Workspace that acts as a structured r
Most teams run their agentic workflows manually — someone logs in, picks a workflow, hits run. But AI Workspace workflows are event-driven> Jira, GitHub, Azure DevOps and ServiceNow connect natively. A ticket transition or a merge starts the workf
What you'll learn:Why similarly skilled testers end up with very different levels of influence, and how the questions you ask reveal which path you're on Why strong execution stops being enough with experience, and what the organisation starts expect
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