Warp's software factory recipe: self-improvement and benchmarking loops
vikvang1 · x · 2026-10-31
Warp shares the two core loops of its "software factory," arguing a factory is incomplete without paths for self-improvement and optimization.
- Self-improvement loop: have agents score past conversations with an LLM-as-a-judge, then review poor performers for concrete improvements — driving factory quality up.
- Benchmarking loop: replay past conversations against different model selections and grade outputs with an LLM-as-a-judge to find the winning setup — driving cost down.
Combined, the two loops yield a better, cheaper agent factory.
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