Events

Most AI-first demos look impressive, but in production, predictability, cost, and quality control matter more than novelty.

In this talk, I will explain why autonomous agents and reasoning models are not always the right fit for QA automation, and why classical RAG does not fully solve the hallucination problem.

I will also include a short demo of Treegress, a no-code QA automation platform that we have built.

Key Takeaways / Main Points

• Deterministic FSM/DAG flows make AI testing more predictable, reproducible, and debuggable.
• Structured outputs, grammars, and validation dramatically reduce hallucinations and flaky tests.
• Reliable end-to-end testing requires much more than a few prompts to an AI assistant and Playwright MCP.
• In production QA, system design and execution control matter more than impressive demos alone.

The future of testing is being shaped by AI, automation, and intelligent quality engineering—and Toronto is where the conversation happens next.

Test Automation Summit—Toronto brings together the testing and QA community for a powerful day of learning, testing, and meaningful networking.

Expect a full day featuring:

• 10+ expert talks, keynotes, tutorials, and panel discussions
• Real-world insights into AI-driven testing and automation
• Practical strategies to improve quality, speed, and reliability
• Opportunities to connect with QA leaders, engineers, and decision-makers

Whether you’re a QA leader, automation engineer, test architect, or DevOps professional, this summit will give you the clarity and connections needed to stay ahead.

Find Testingmind on Linkedin, Twitter, and Facebook.

Networking: 6:00 – 6:30

Presentation: 6:30 – 7:45

When I started my career twenty years ago, software quality basically meant “no bugs,” and testing meant executing a finite set of cases. Since then, I’ve watched the concept evolve alongside significant shifts in technology and industry practices. Because these changes have been largely additive, we face an ever-expanding horizon of what “good” software looks like.

In this talk, I offer a definition of modern software quality that incorporates the many expectations accumulated from technological and process trends such as Agile, automated testing, cloud hosting, DevOps, and AI. Drawing on my own painful experiences with neglecting or misunderstanding the evolving dimensions of quality, I’ll share examples of what I’ve learned from them and what effective practices can look like.

To help you assess how you and your team are doing with respect to this laundry list of quality-related things to be responsible for, we will break them down into four key pillars:

User Value: Building the Right Thing (strategic alignment, risk assessment, measurable impact) Product Health: Testing the Things We Can Predict (enabling and executing solid testing strategies) Operational Health: Dealing with the Unexpected (observability, recovery, non-deterministic behaviour) Sustainability: Holistic Stewardship (security, cost, performance, accessibility, maintainability)

We’ll cover a series of questions to help you explore and audit each area, followed by a set of prompts to help you determine where the next quality evolution is likely to come from in your context.

While the field may have been simpler when I began, the constant transformation is what has kept it exciting. Fortunately, today it’s easier than ever to learn a new skill that can bring more value to your users and your business. As a final thought, I hope to leave you with the realization that the most important software quality strategy is the willingness to adapt, evolve, and stay curious in an ever-changing landscape.

Startups and Small Organisations need to consider the Customer Experience, Business Value and Adhere to Security and Compliance for their clients. They also need to consider making the project Scalable, make sure the users are involved and that they are Agile.

QA and QC can help with all of these items but they are frequently ignored until it is too late. Then when the product is released there is a scramble to make updates and release items without proper testing. Putting in QA earlier resolves these problems.

This webinar will address the benefits of QA for Startups and Small Organisations.

This session shares practical lessons from applying AI in Quality Engineering within a large, multi-vendor enterprise environment.

It covers where AI delivers real value in shift-left quality, automation, and decision-making—and where governance, data, and people still matter most. The focus is on what actually works at scale, not experiments or hype.

In today’s fast-paced tech landscape, technical skills alone won’t get you to the top. Whether you’re a developer, engineer, analyst, or aspiring leader, the key to thriving in your IT career lies in mastering the human side of success—clarity, confidence, and strategic growth. This webinar dives into how professional coaching can accelerate your career trajectory, helping you navigate challenges, build influence, and align your work with your deeper purpose.

Join us to discover how coaching empowers IT professionals to break through plateaus, lead with impact, and future-proof their careers in an industry that never stops evolving. If you’re ready to move from reactive problem-solver to intentional change-maker, this session is your launchpad.

• The ISTQB (Vision, Syllabus Scheme, Working Groups, Partner Program)
• The CSTB (Goal, History, Local Activities, International Activities, Volunteering)

The session will focus on how QA teams can accurately assess whether their applications have sufficient visual test coverage using modern tools and best practices. The presentation will introduce the concept of visual coverage, which goes beyond code coverage to reveal untested, under-tested, and high-risk areas of your user interfaces. We will explore technologies like visual heatmaps and intuitive gap analysis to instantly identify missing or redundant tests, helping teams streamline their QA processes and maintain consistent quality across manual and automated test suites.