Superpowers 6: Cutting Build Cost 60% via Autoresearch Loop
Superpowers 6 is released, with its biggest improvements driven by an automated research loop. The author used Anthropic's Fable model (briefly available) to systematically optimize their Subagent Driven Development pipeline. Over 36 hours and ~$165 in token spend, 25 experiments were run, yielding a 50% reduction in wall-clock time and 60% reduction in token consumption vs. v5. Key optimizations: merging spec compliance and code review agents, pre-baking review packets to minimize git operations, and dynamic agent allocation based on task type (e.g., using cheap haiku for non-code plans). The post also documents falsified hypotheses (e.g., capping controller thinking backfires) and emphasizes the role of their eval suite in rigorous measurement.