For software teams, the pressure is on to adapt.

Denis Bolkovskis

Anthropic

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With the advent of AI, software development is undergoing a significant transformation. The balance of labor is shifting from writing code to other tasks, particularly in the Outer Loop. AI-driven productivity gains allow for faster code creation but also result in sloppy code that requires extensive testing. Development teams need to adapt by automating repetitive tasks and addressing the talent shortage in QA engineering.

Thanks to AI, the coder is no longer king: All hail the QA engineer

An eye-opening read!
Here’s a summary of the main quotes and concepts that I learned:
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The Inner Loop encompasses the high-value creative tasks involved in developing software. They include designing, writing, building, and debugging code — work performed by individual developers before they share it with fellow team members.
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By contrast, the Outer Loop is home to the repetitive tasks that drain attention away from the high-value work taking place in the Inner Loop. That includes testing the code — doing security, reliability, and quality assurance so it’s ready to use.
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Toil refers to the tedious, repetitive tasks that already consume too much of developers’ time and sanity. Whether they’re testing code manually, waiting around for builds to finish, or seeking approval to move things along, software engineers find themselves frustrated, slowed down, and pulled away from the creative work that drives innovation.
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As AI automation makes the Inner Loop ever faster, the Outer Loop threatens to get bogged down in more toil than ever.
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Soon, we might need more QA engineers than coders to counter this toil using solutions like CI/CD
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