The human will quite convincingly be able to construct a post-hoc reasoning on an action that may or may not be related at all to what was actually going through their head or the actual instinctual reasons that led to a decision.
Have you tried BAML? We use it to manage APIs and clients, as well as prompts and types. It gives great low level control over your prompts and logic, but acts as a nice standardisation later.
Looks very interesting, but I've seen these kind of multi-paradigm databases like Gel, Helix and Surreal and I'm not sure that any of them quite hit the graph spot.
Does Helix support much of the graph algorithm world? For things like GrapgRAG.
Either way, I'd be all over it if there was a python SDK witch worked with the generated types!
It's strange that searches add a filter pill with a cross, but a new search just replaces all the filters. It would be great to iteratively build up filters.
When GitHub actions are stopped GitHub just goes straight for the nuclear SIGKILL. No, asking nice first with a SIGTERM...
This means that for anything that needs to gracefully cancel, like for example terraform, it's screwed.
Want to cancel a run? Maybe you've got a plan being generated for every commit on a branch, but you push an update. Should be ok for GitHub to stop the previous run and run the action for the updated code, right? WRONG! That's a quick way to a broken state.