I just had a majorly fun time addressing tech debt, deleting about 15k lines-of-code from a codebase that now has ~45k lines of implementation, and 50k lines of tests. This was made possible by moving from a homegrown auth system to Clerk, as well as consolidating some Cloudflare workers, and other basic stuff. Not as fun as creating the tech debt in the first place, but much more satisfying. Open source repo if you like to read this sort of thing: https://github.com/VibesDIY/vibes.diy/pull/582
The generation is running while you login, so this appreciable decreases wait time from idea to app, because by the time you click through the login, your app is ready. (Vibes DIY CEO here.)
If login takes 30 seconds, and app gen 90, we think this is better for users (but clearly not everyone agrees.) Thanks for the feedback!
This is very much like Erlang's actor model. The same compute can be run in parallel, or managed via queues. With Erlang's strong support for FFI and process control, I wonder if it's being used as a dispatcher for these sorts of workloads.
I didn't say enough about the ledger-like aspects above. Some databases have collections, some have tables, Fireproof has ledgers. These are the unit of sharing and access control, and also the unit of provable history.
