AI is the future of development, but not as I imagined.
A developer at Moze shares how using AI technologies has changed his perspective on the limitations of LLMs—and on opportunities he hadn’t anticipated.
For developers like me, the narrative around AI is often problematic. Since the launch of ChatGPT, AI is frequently framed in a way that polarizes professionals into two extremes: on one side, there are those who fully embrace the trend, delegating as much as possible to AI; on the other, those who want nothing to do with it.
Developers tend to be practical people who want to experiment and try things firsthand. The frantic rush to announce new, groundbreaking AI milestones tends to make us view LLMs (Large Language Models) with some skepticism: isn’t it all just marketing? Even within the studio where I work, Moze, opinions differ: some are more open to experimentation, while others remain uninterested, preferring the craft of coding by hand.
Until a few months ago, I found myself somewhere in the middle. My adoption was, I’d say, curious but cautious. I used Copilot X (GitHub’s generative AI coding tool) for smaller, refinement tasks: code review and documentation. In other words, a concrete and limited use case—as a co-pilot. I hadn’t gone beyond that.
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