davebcn87/pi-autoresearch

Health v2 · maintenance only

Flags: young

Adoption not part of the score

7868 stars · 448 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A pi extension that runs autonomous optimization loops: try an idea, benchmark it, keep improvements, and revert regressions. Inspired by karpathy/autoresearch, it works for any measurable optimization target such as test speed, bundle size, or build times.

Use cases

• automatically optimize unit test runtime
• reduce bundle size with an autonomous loop
• improve Lighthouse scores iteratively
• track and optimize LLM training loss
• speed up build times automatically
• benchmark commands and keep only improvements

When to choose

• you use the pi coding agent and want hands-off optimization loops
• you have a measurable metric and a command to benchmark it
• you want automatic commits of wins and reverts of regressions

When to avoid

• you don't use the pi coding agent
• your optimization target has no reliable automated measurement
• you need a standalone benchmarking tool outside an agent workflow

Facets

plugin · maturity active

benchmarking agent-framework developer-tools cli monitoring developer-tools performance artificial-intelligence cli cross-platform pi-extension autonomous-experiment-loop optimization coding-agent benchmark-loop automation nodejs

Member repositories

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