[vunderba]

In my experience, LLMs are pretty good at writing Go code. In fact, that’s one of my principal use cases: I have a number of bespoke Node programs from many years ago that usually run in the background on my computer.

Each process (with the Node runtime engine) consumes about 50–100 MB of RAM. One of the first things I tried was using large language models to help port them over to Go. Since the model has a point of reference (the original Node program plus its unit tests) it’s been easy to use a test-driven approach and ensure the Go version maintains parity with the originals.

Memory usage usually drops from around ~50 MB to about ~5 MB per process, which really adds up when you’ve got a dozen of these programs running at once.