I never claimed that what I did was comparable to these modern options - I didn't validate it in more than an ad-hoc way anyway, and it used an off-the-shelf LLM rather than something specially trained. I didn't consider it worth releasing or making a big fuss of.

I contribute my experience here only because I've seen a lot of chatter lately about doing exactly this sort of thing, and I thought I'd share how I made it work for me. There are a lot of ways it can silently fail and give bad numbers if you aren't careful, and I wouldn't want people to think it doesn't work just because they used a vibe coded GitHub project from the last 48 hours that doesn't take these things into account.