I use haiku and luna for support on most my SWE tasks since they are cheap and fast. I find them enough for most things if you are patient, and the fact an even cheaper model for comparable intelligence is out there now is great news!
The idea makes sense and the work is great. Some feedback I have is that it becomes hard to try the project out when postgres is a mandatory dependency: I understand that there are scalability reasons why that choice was made, but it would be neat if sqlite was an option.
We'll look into it! The db layer is already modeled basically like a plugin; should be pretty easy to add in whatever database support you want. Sign up to the newsletter on the website if you want the updates when it's ready :)
Depends on whether they make it backwards-incompatible or they add methods alongside existing ones.
But that depends on whether they add monadic error handling in the first place, and if they do, if they intend to migrate the language's APIs to it - I don't think they would because the existing error handling is faster and everywhere.
7000 dollars is definitely a lot, but not impossible for a tech worker to save up for something worthwhile. some people spend that yearly in baseball alone
The barplots are being miscolored, so only their own model is visible. Its hard to compare them. It highly suggests that the blog post was never looked at by a human.
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