How I program with LLMs
This article is a summary of my personal experiences with 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 to be 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.
Background
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 write a piece of a program as requested and make solid progress.
