As usual when there's a harness release by a billion-dollar company, I like to ride its coat-tails with a little plug for mine (https://github.com/juggler-ai/juggler) since my marketing budget is $0. Juggler usually gets a warm response from HN people because it's a bit more hands-on than most of them.

I'd be interested to hear whether the 'spec' stuff works or not. I've been pondering adding a plugin for juggler based on the fact that we're rubbish at writing specs: so instead, when you prompt it, it'd get the model to list the assumptions that it's making about the task. Then the user can spot and correct any incorrect assumptions, rather than expecting the user to provide correct specs. (Haven't actually tried this yet, just speculating)