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crawshaw - 2025-01-06

crawshaw.io · 4,527 words · saved by 3 readers

This document is a summary of my personal experiences using generative models while programming over the past year. It has not been a passive process. I have intentionally sought ways to use LLMs while programming to learn about them. The result has been that I now regularly use LLMs while working and I consider their benefits net-positive on my productivity. (My attempts to go back to programming without them are unpleasant.) Along the way I have found oft-repeated steps that can be automated, and a few of us are working on building those into a tool specifically for Go programming: sketch.dev. It’s very early but so far the experience has been positive. I am typically curious about new technology. It took very little experimentation with LLMs for me to want to see if I could extract practical value. There is an allure to a technology that can (at least some of the time) craft sophisticated responses to challenging questions. It is even more exciting to watch a computer attempt to wri

crawshaw - 2025-01-06 How I program with LLMs 2025-01-06 This document is a summary of my personal experiences using generative models while programming over the past year. It has not been a passive process. I have intentionally sought ways to use LLMs while programming to learn about them. The result has been that I now regularly use LLMs while working and I consider their benefits net-positive on my productivity. (My attempts to go back to programming without them are unpleasant.) Along the way I have found oft-repeated steps that can be automated, and a few of us are working on building tho

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