I got bad speed even with perfect signal in malls and any place that is more crowded than a Costco. Google Fi doesn't have that problem. I blame it on T-mobile but I would rather Google Fi survives.
I have also found this as well. CLI outputs text and input text in an interactive manner, exactly the way that is most conducive to text-based-text-trained LLM.
I do believe that as vision/multi-modal models get to a better state, we would see even crazier interaction surfaces.
RE: duckdb. I have a wonderful time with ChatGPT talking to duckdb but I have kept it to inmemory db only. Do you set up some system prompt that tell it to keep a duckdb database locally on disk in the current folder?
Do you have a recommended hot air station for tinkerer use? I am trying to move up from breadboarding into something more field-deployable proof of concept.
I like Zed. It's super fast and seems to be getting lots of improvement constantly.
My issue with it is when I use it on my codebase, it doesn't like my (probably old style) eslintrc. So it decides to go ahead and reformat my file on save :(.
While True, I believe the reason Monodraw doesn't expand is because the ASCII / TUI tooling economy is not rewarding. There are few users and even fewer customers who are willing to pay for ASCII/TUI tools.
We dive into the long tail quickly. I would be very surprised if Monodraw make more than 1M a year. At that revenue, it's going to be hard to expand into a multi-platform / web strategy (especially if your existing product is platform-locked).