at one point, we had a Slack channel dedicated to collecting feedback + improving our agents' model configs, skills, and prompts along the axes we care about.
so we decided to embed this into our product! every factory
@warpdotdev comes built-in with a functional self-improvement loop:
> a default set of scorers that judge agent runs on things like code quality and verbosity
> over time, scorer results bubble up into a set of concrete improvements to agents' base config
waitlist is open:
Measure factory performance with cost and velocity metrics, accessible from the factory dashboard and via our API and SDK.
Plus, configure self-improvement agents to grade performance and automatically improve your factory overtime.
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