24th April 2024
05:00 PM - 07:00 PM MST
21st May 2025
4:30 PM to 8:30 PM MST
InceptionU
800 3 St SE 3rd Floor, Calgary, AB T2G 0E7 · Calgary, AB
Rob Sabourin has spent over four decades pioneering automated test design across a wide range of technology stacks. Lately, he’s been exploring the power, promise—and occasional perversity—of applying Generative AI to the test design problem space.
In this lively and engaging talk, Rob shares key lessons from his hands-on experience using Generative AI to tackle real-world test design challenges. From successes and failures to unexpected outcomes, Rob offers an honest look at what works, what doesn’t, and why.
His central takeaway? Generative AI can be a valuable tool in the hands of a skilledtester—but it’s no substitute for critical thinking, deep domain understanding, and solid test design fundamentals.
Attendees will learn how Rob has successfully leveraged aspects of Generative AI in test design, while also steering clear of common pitfalls and limitations of large language models.
If you’d like to follow along, please bring your laptops and complete the following pre-requisites:
Please download Latest version of Zap – Zed Attack Proxy
Robert is an Adjunct Professor at McGill University (Canada) with over 4 decades of experience. Rob pioneered Just-In-Time-Testing principles for software development life-cycle models and has created many important courses. Through his company, AmIBug.com Robert has mentored and trained hundreds of students. His passion for mentoring students has stayed constant throughout his career.
Generative AI is reshaping the software testing landscape by bringing intelligence, speed, and adaptability across every phase of the testing lifecycle. In this session, we’ll explore how Gen AI can augment and accelerate testing—from analyzing requirements and generating test cases to developing automation scripts, executing smart test runs, and maintaining test suites. We’ll also spotlight cutting-edge AI-powered testing tools transforming the QA ecosystem. Whether you’re a tester, developer, or QA leader, this talk will equip you with insights into how to harness Gen AI to boost productivity, coverage, and quality in your testing processes.
Femina is a dedicated Quality Assurance Analyst with a passion for continuous learning and fostering quality in software development. She has proven her expertise in the QA field, particularly in test automation, through her work with leading companies like Neo Financial, IBM Canada, and currently, Krux Analytics Inc.
Femina actively participates in tech meetups and believes in the power of community to drive innovation and personal growth. With a strong foundation in testing and quality practices, she advocates for early QA involvement in the development lifecycle and embraces new tools and methodologies to improve software quality.Â
Outside of work, Femina enjoys watching movies, exploring the outdoors, and spending time in cozy cafés.
Subin Finny is a dedicated tech enthusiast and seasoned quality engineer with over a decade of experience in the IT industry, specializing in QA and Automation across various domains.
He is currently working with TCS Canada on projects for TD Bank and has previously had the opportunity to work with renowned clients such as Apple, NBC, Intuit, and Alight Solutions.
Outside of work, Subin enjoys traveling, playing sports, and discovering global cuisines. He is a strong advocate for lifelong learning and is passionate about sharing knowledge and gaining insights through community engagement.
As QA professionals, you already rely on clear acceptance criteria and automated checks to ship reliable software. In this talk, we’ll apply those same principles to AI by covering:
Acceptance Criteria for Evaluations: what they mean, why they matter, and practical approaches to define thresholds (accuracy, consistency, hallucination limits)
Automating your Eval Suite: how to turn those criteria into automated tests, and why the investment pays off in reduced risk
Hands-on Evalite + TypeScript integration: step-by-step example of plugging an eval framework directly into your CI/CD
Real-world tests at Robin: the exact evals we run on our models. I’ll show some sample data, pass/fail logic, and monitoring tools that we use to keep our AI solid and reliable.
By the end, you’ll have a lean, QA-friendly roadmap to bolt AI evals onto your existing workflow.
Nick has been developing software since the internet first began. He is a Neo Financial alumni, and spent some time working in analytics for the Minnesota Twins. He is currently working as the CTO at Robin where he keeps the code feather-light and handles major migrations.
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The Test Tribe is the World’s Largest Software Testing Community turned EdTech Startup. Started in 2018 with a mission to give Testing Craft the glory it deserves while we co-create Smarter, prouder, and confident Testers.
We take pride in solving upskilling and growth for global Testing professionals through our unique offerings like Expert Courses, Membership, Cohorts, Offline Mixers, online Community spaces, and a lot of global Events.
Our offerings enable Software Testers globally to collaborate, learn, and grow together. With around 270+ Software Testing Events like Conferences, Hackathons, Meetups, Webinars, etc., and with other Community initiatives, we have reached a global footprint of over 120K+ Testers from 130+ Countries. We intend to provide life-altering growth to every single Testing professional on the planet through community and technology.
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