[cowlby]

It was all GitHub Spec Kit + Claude Opus tbh. I narrated a couple paragraphs of how I wanted to sync to flow and it knocked it out in one pass practically.

Here's the initial spec it created. I started off writing to a local sqlite db instead of Supabase: https://gist.github.com/cowlby/0dbeb52403c3f3c0f1d8122505203...

Edit: Here's also the DSL categorization spec. First one was string based, found it cumbersome, so second one was the Markdown table refactor: https://gist.github.com/cowlby/30d6b5cf132fc1424ab146f0eaf4a...

https://gist.github.com/cowlby/d569c8e05b5b6eecfd4d237372c06...

(edit: put in Gist instead of inline here)

[mbm]

This is really neat, and actually pretty sophisticated. It's like a tiny fintech.

How well has the cash flow prediction worked?

[cowlby]

It's great because Claude Code generated complex analysis/models 10X better than I was familiar with.

The key was normalizing the payee/categories so we can analyze month to month, and separating fixed vs variable spend. It then did a fancy Monte Carlo simulation with the computed mean/stddev per payee. And out came T+30/T+60 estimates at P50/P80/P90.