Why Parallel Agent Teams Outscale Solo Best-of-N
When developers allocate inference budgets to coding agents on hard problems, the architecture usually swings between two extremes. The first option is best-of-N sampling over independent workers: fire off one hundred parallel agent runs with separate seeds, evaluate their patches against a test ru…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-09 16:28 · DEV Community — AI
Why Parallel Agent Teams Outscale Solo Best-of-N