Distributed backend specialist. Perfectly happy playing second fiddle—it means I get to chase fun ideas, dodge meetings, and break things no one told me to touch, all without anyone questioning it. 😇
You know, maybe I’ve been using AI wrong this whole time (but I seriously doubt it 😂). Sure, prompting is fresh for some folks, but c’mon... Just because I’m handing off the same prompt to both ChatGPT and Copilot doesn’t mean I get to skip the deep dives through Liquibase docs, or those hours spent reverse-engineering how to wrangle a solution from the mess.
If anything, orchestrating from a systems and design angle is the part I’ve always loved most — code is just the vehicle, not the destination. So yeah, dev roles are morphing. But trust me, I’m never just “editing” what AI spits out. Worst case? I’m actively steering: pushing the model for edge cases, spotting bottlenecks before the first commit, and troubleshooting stuff AI couldn’t possibly guess from context alone.
Sure, knowing JavaScript, Java, Python, Go — pick your flavor — still helps if you’re in the business of translating between humans and CPUs. But honestly? I’d rather let AI do the code gymnastics while I get busy untangling the actual problems that need solving. 🧩✨
Oh, and let’s be real: AI does not magically write production-quality, secure code by default. It takes good prompt design, system know-how, and more configuration than anyone admits in public. Can it reach that level? 100%! But you’ve gotta guide it — AI’s not mind-reading (yet). 😉
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You know, maybe I’ve been using AI wrong this whole time (but I seriously doubt it 😂). Sure, prompting is fresh for some folks, but c’mon... Just because I’m handing off the same prompt to both ChatGPT and Copilot doesn’t mean I get to skip the deep dives through Liquibase docs, or those hours spent reverse-engineering how to wrangle a solution from the mess.
If anything, orchestrating from a systems and design angle is the part I’ve always loved most — code is just the vehicle, not the destination. So yeah, dev roles are morphing. But trust me, I’m never just “editing” what AI spits out. Worst case? I’m actively steering: pushing the model for edge cases, spotting bottlenecks before the first commit, and troubleshooting stuff AI couldn’t possibly guess from context alone.
Sure, knowing JavaScript, Java, Python, Go — pick your flavor — still helps if you’re in the business of translating between humans and CPUs. But honestly? I’d rather let AI do the code gymnastics while I get busy untangling the actual problems that need solving. 🧩✨
Oh, and let’s be real: AI does not magically write production-quality, secure code by default. It takes good prompt design, system know-how, and more configuration than anyone admits in public. Can it reach that level? 100%! But you’ve gotta guide it — AI’s not mind-reading (yet). 😉