Systems | Development | Analytics | API | Testing

AI is being treated as a shortcut for quality. Is that a dangerous gamble? There are a few industry-wide experiments happening right now: Developers are being pushed to own quality, but without dedicated testers, gaps are forming. AI is being used as a crutch for testing, but can it actually replace critical thinking? The real risk? We won’t know how badly this approach fails until it’s too late.

Welcome to Episode 8 of The Innovation Blueprint! In this episode, we explore how cutting-edge technology is reshaping industries, with a special focus on PropTech, AI, and digital trends driving transformation across sectors.

The Test Tribe Calgary Meetup took place on 22nd January and featured David Paquette, Principal Software Engineer at Microsoft, who took us through the power of Playwright in making end-to-end testing seamless and reliable. If you've ever struggled with flaky tests, difficult test setups, or maintaining complex test code, this talk was packed with solutions. David demonstrated how to write stable cross-browser tests, debug efficiently using Playwright’s codegen, inspector, and trace viewer, and shared practical strategies to enhance test automation workflows.

AI isn’t a shortcut to perfect testing. It won’t magically fix your processes or write flawless code. But if used right, it will push testers and developers to think more critically. Instead of asking if AI should be part of testing, the real question is how to make it a true collaborator. That means: Using AI to highlight gaps, not blindly trusting its output Treating it as a thought partner, not an automation machine.

That’s where feature flags come in. They let you: Ship small, continuous changes without fear. Give different teams control over what and when features are released. Roll out to preview users before full deployment. It’s all about having control over production - without sacrificing speed. Watch the full QA Therapy episode to learn more!

According to Cristiano Caetano, VP of Product Management at Katalon, human intuition is irreplaceable in this field. It is better to leverage AI for repetitive and labor-intensive tasks while using the freed up bandwidth to focus on strategy - things machines can't replicate. Stay tuned for upcoming episodes in our series!

To use or to not use open-source automation tools? That is the question we asked Gokul Sridharan, DevOps and Testing evangelist with 14+ YOE. “It’s subjective”, said Gokul, “there are three core reasons why people get into automation in the first place”. He emphasized the power of automation, and how embracing automation tools can unlock higher scalability. Stay tuned for more interesting insights in our#AutomationDecoded series!

Join us for an innovative session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we explore cutting-edge strategies to optimize both performance and cost in your Snowflake environment. Striking the perfect balance between high performance and cost efficiency is crucial. Yet, 80% of data management experts struggle with accurate cost forecasting and management (Forrester). We'll show you how to overcome these challenges and lead the pack in Snowflake FinOps.

AI isn’t replacing testers—it’s becoming an extension of how they think. Here’s how @Maaret Pyhäjärvi sees it: Applications make us more creative, acting as an “external imagination.” Testers do the same for developers—when devs anticipate tester feedback, their testing improves. AI, when used right, serves a similar role: it challenges us to refine and rethink, not just automate. The real power of AI in testing?Doing the work for usPushing us to think better.