how do you acquire the data though. that is a giant pita. i used tiller but that is $80/year spend - spend that i already use on my chatgpt pro sub so happy to not add incremental spend. plaid directly was a weird pricing model. no way i want to maintain the data ingestion pipeline myself- life is too short for that.
@petergyang@ChatGPTapp i did this by adding a manual account. after ingestion it asks you if you want to add these accounts. from that you can generate dashboards to track goals etc.
plenty of "sane" people use quicken, plaid, tiller and other personal finance services/apps. this is read-only access, not transaction level access. the attached blog post says they use plaid today with intuit coming later. i vibe coded a personal finance app using tiller to ingest data, store it locally in sqlite, and then i run agents over it. this might replace that for my use case depending on how good it is (i like my custom dashboards).
be careful about model being trapped in a local minima. it is quite expensive and time consuming if it does. in my case it reinforced itself to breaking large files into single class/entity files. lots of activity for very little benefit. figuring out how to get it to reflect better on "so ... were the last n commits helpful or harmful? steelman both sides and figure out if you need to course correct"
another, harder, problem is reviewing the implementation. reading the code does not scale to human level inference speeds, ie you are bottleneck. i wonder if we can get agents to write "e2e manual verification programs" such that output is easy for human to validate (in addition to tests etc of course)
i don't think waterfall can be run in minutes because humans cannot review the giant specs in minutes. i'm beginning to think that "progressive, iterative prototyping" might be an interesting path to explore because reviewing behavior is faster than reviewing a spec about behavior.
@stuartbuck1 one of my high agency interns cold emailed steve ballmer and had lunch with him years ago. you would be surprised by how little direct to him emails that he gets. something like 50-60 a day.
@RhysSullivan i really like this slide from @mitsuhiko. writing small self contained libraries and composing them might be an interesting avenue to explore. deck is https://t.co/jwnWHAbS91
@nicopreme this is a cool idea. but i wonder about the generality of the approach - have you thought about what it would take to build something like this but in code? i would imagine that a pi extension comes really close to being able to do this.