I've become attached to Orca (yc-backed) for managing coding sessions in the past week, but some sort of postgres session db is what's really lacking. So, maybe it's time to try qm.
I've become attached to Orca (yc-backed) for managing coding sessions in the past week, but some sort of postgres session db is what's really lacking. So, maybe it's time to try qm.
What's notable to me is that ux doesn't so far generally have this behavior. That as per this post people just build a new app, a new experience.
I want to believe over time we'll have better composable & malleable ux experiences atop broader platforms for us. That over time the "go it alone" path has other worth ways to innovate that use a more substantial shared base. It's dangerous to go it alone, and doing so equipped with just our wooden sword and some courage and perhaps an LLM wisp is an amazing adventure, but I think the survival rate & impact would be much better if we had more general ux systems that supported better innovation atop them, and if less people did the pure "why not build your own" path.
The agents are so good at this, there's literally no point in not doing it that way.
Right now shadcn/ui might be the leading candidate but there are plenty including old school bootstrap, material / MUI, a bunch of various flat-themed ui, etc. They often come in the form of a react component library or whatever but they're generally really solid. I also found one in svelte that I can't immediately pull up but it was nice looking too.
And for some simple recurring tasks or local housekeeping stuff, having something where I 100% know what files it reads or writes will surely be useful. E.g. if I wanted to watch out for certain topics on HN, I'd rather make something myself that grabs the feed and turns that into a list of titles and topic ID, which is probably 1% of what the front page HTML would be, and then only have the LLM process that output -- rather than telling an LLM to do all that every time. Even if tokens may not be that precious, and the difference in "cognitive performance" not worth speaking of, that would feel way neater to me.
I've replaced most of my business software that I was paying for with custom stuff, already, for busy-LLM-work.
I am but a leaf riding on top of the sea of creativity of others when it comes to these new interaction patterns.
I've been playing around with using a hidden markov model informed by a UI state event stream, with the end state fed into the Agent as a hint on each message turn. Then the Agent can make a tool call to add events to the HMM. This has been really interesting, but I haven't struck the right balance to make it actually feel good for the user yet
For example, many rumors say SSI has solved learning and retaining state. That would significantly change AI requirements.