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Testing

Testing is the practice of systematically checking if code functions as intended.
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Ship It! Ship It! #45

Swiss Quality Assurance

Pia Wiedermayer, Lead QA at Zühlke, is talking with Gerhard today about software quality. If the name sounds familiar, check out episode 28. Thank you Romano for the introduction 👋🏻

Do you remember the last time that you used an app, whether it was in the browser or on your mobile, and everything just worked? What about that intuitive feel, snappiness and you achieving the task that you intended to without feeling that you are fighting tech? Experiences like those take a lot of effort across multiple disciplines. They are designed, built and maintained over long periods of time. It all starts with people like Pia that really care about quality. It’s so much more than just automated testing…

Ship It! Ship It! #16

Optimize for smoothness not speed

This week Gerhard is joined by Justin Searls, Test Double co-founder and CTO. Also a 🐞 magnet. They talk about how to deal with the pressure of shipping faster, why you should optimize for smoothness not speed, and why focusing on consistency is key. Understanding the real why behind what you do is also important. There’s a lot more to it, as its a nuanced and complex discussion, and well worth your time.

Expect a decade of learnings compressed into one hour, as well as disagreements on some ops and infrastructure topics — all good fun. In the show notes, you will find Gerhard’s favorite conference talks Justin gave a few years back.

Practical AI Practical AI #74

Testing ML systems

Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.

Go Time Go Time #91

if err != nil

Mat and Carmen along with guest panelists Dave Cheney, Peter Bourgon, and Marcel van Lohuizen discuss errors in Go, including the new try proposal. Many questions get answered…What do we think about how errors work in Go? How is it different from other languages/approaches? What do/don’t we like? What don’t we like? How do we handle errors these days? What’s going on with the try proposal?

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