AcademySkillsDevelopment

Codex Autoresearch

Engineering teams that want to improve a measurable metric, like build time or memory use, through repeatable experiments.

  • Recommendedour rating
  • 834gitHub stars
  • Apache-2.0licence
  • 8 days agolast update
git clone https://github.com/TheGreenCedar/codex-autoresearch.git
README.md

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What it does

A Codex plugin that runs optimization loops inside a codebase. You give it a workload, correctness checks, an edit boundary and a time budget. It records a baseline, tries small changes against a metric such as test runtime or build speed, and leaves a reviewable patch with the evidence.

Use cases

  1. 01Reduce test suite runtime against a baseline
  2. 02Lower build time within a fixed edit boundary
  3. 03Review a patch together with its benchmark evidence

Questions about
Codex Autoresearch.

What is Codex Autoresearch used for?

Engineering teams that want to improve a measurable metric, like build time or memory use, through repeatable experiments. A Codex plugin that runs optimization loops inside a codebase. You give it a workload, correctness checks, an edit boundary and a time budget. It records a baseline, tries small changes against a metric such as test runtime or build speed, and leaves a reviewable patch with the evidence.

How do I install Codex Autoresearch?

Run this in your terminal: git clone https://github.com/TheGreenCedar/codex-autoresearch.git

Is Codex Autoresearch open source?

Yes. The code is on GitHub (TheGreenCedar/codex-autoresearch) under the Apache-2.0 licence.

Is Codex Autoresearch safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.