I have a zsh functions that calls claude code with haiku to suggest commit messages, is faster and the instructions are two lines.

I also have an "ask" script that I use daily to ask simple stuff, it can access websearch and webfetch, it's more than enough to parse logs, ask for commands, quick research on the internet, small stuff. https://github.com/mariocesar/dotfiles/blob/main/common/.loc...

I use haiku for things that needs to be quick, have really clear instructions.

I've been using GPT-6 Luna in some capacity for nearly all my agent workflows. It's just a really good model, and the pricing is cheap. If Haiku 5.5 is better, and the same price (under 100k context... which is a big caveat) i'd probably swap it.

Opus often picks it when it's doing a "find me something" subagent. But largely it's been held back by being fully a year old at this point, and priced at a much higher price than models that are far more capable.

I was waiting for this.

Planning on doing flash analyses of PRs that impact evals in some way, and then post comments on GitHub whenever there’s flaws in them

( https://evalship.com )

not haiku, but luna - last week i used it for things like "read this historical dump of 15k support tickets and break them into categories that make sense, then propose help docs that i could write to handle the most frequent queries in each category"

used <10% of my 5hr limit on a $100 codex plan.

It's great at parsing documents inexpensively. For the few skills/plugins I've made, I usually instruct Claude to use Haiku for low-reasoning grunt work.

My software application uses Haiku in production more or less as a Jev. I do not use it for coding or development.

I'm building a game that incorporates LLMs as a game mechanic.

I've been using Luna, but I'll probably switch to Haiku.

Translating GPT’s word salad to English at the end of an agent interaction.