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The promise of acceleration from AI developer tooling is highly alluring and yet there’s this annoying risk of such tooling generating logic that would result in … uh … negative outcomes.
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It seems fairly common for organisations adopting AI tooling to measure adoption rates, token usage, generated code commits, etc and I must admit my mind boggles.
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“I’m imparting my knowledge on the bro” - Hunt for the Wilderpeople (2016) No.
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It may or may not be common knowledge that I have a background in accounting.
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It’s well understood that the vast majority of people turn up to work every day wanting to do a great job and be recognised for their efforts in whatever way grants the dopamine hit we all so desire.
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If you release software with any reasonable cadence, it’s almost inevitable you will end up using a feature flag system of one sort or another.
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Past JuniorDev Auckland Meet Topic: Software Engineering - The AI Reboot Date: 2025-08-06 Location: Auckland, New Zealand Slides Cloud Native Summit
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When I was a teenager I started saving up for my first vehicle and I remember my dad saying the cost of buying it was the cheapest part of the ownership experience.
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Defensive programming is a solid practice to adopt and I generally advocate that we do so but we have to be careful we are still getting the value we expect from the practice.
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Some time ago I was getting an old gameboy up and running again and found myself enjoying a game of Tetris.
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I’m quite a fan of a Canadian documentary series called Air Crash Investigations.
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I’ve sometimes taken the opportunity to speak on engineering career panels and a question often asked by new engineers or graduates is ‘How do I make my CV stand out?’
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It seems fitting that the first post should be about the inspiration for its title.
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I am a software professional and leader who often finds myself drawing analogies with the non-software world.