ReactCloudflareSQLite
- Agent
- Claude Code
- Models
- Claude Fable · Claude Opus · Claude Sonnet/Haiku
- Spend / usage
- I spent 18.07B tokens for an equivalent API spend of $11,612. 17.52B cache reads (97%), 436M cache writes, 106.6M output tokens, ~0.4M uncached input — across ~208,000 API calls. By model: Opus $4,903 (planner, merge-trains, fleets), Sonnet $2,994 (swarm workers, runner loops), Fable $3,715 (interactive, meta-orchestrator…
Process & submission notes +
Build process
I used a cheap agent swarm implementation I mostly developed reimplementing Cursor's Agent Swarms blog post from July (my implementation actually appears to yield similar results but doesn't require a custom VCS or grok models and is cheaper on a API cost basis for the same SQLite implementation as described in the experiment) and incorporated [person removed] Thunderdome idea for when the merge queues get too backlogged.…
Additions & omissions
I say this after pulling and running about 10 of my most worthy competitors code: I think my software is better designed, more visually and logically coherent, and generally less of a slopfest than the rest. I hope you feel the same way.…