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GitHub - TheGreenCedar/codex-autoresearch: A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

github.comSaved September 28, 20267 min

Preview of GitHub - TheGreenCedar/codex-autoresearch: A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

TheGreenCedar · via GitHub

Summary

codex-autoresearch is a Codex plugin that runs repeatable optimization loops against a measurable benchmark in a local repository.

It records a baseline, evaluates small scoped changes against a typed metric and correctness checks, and outputs a reviewable Git patch. It targets bounded performance or resource-use experiments such as test runtime, build speed, memory use, or query latency.

Topics

Codex Plugin Automated Experimentation Performance Optimization Code Optimization Benchmarking

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William's Bookmark Library

/**/

GitHub - TheGreenCedar/codex-autoresearch: A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

github.comSaved September 28, 20267 min

TheGreenCedar · via GitHub

Summary

codex-autoresearch is a Codex plugin that runs repeatable optimization loops against a measurable benchmark in a local repository.

It records a baseline, evaluates small scoped changes against a typed metric and correctness checks, and outputs a reviewable Git patch. It targets bounded performance or resource-use experiments such as test runtime, build speed, memory use, or query latency.

Topics

Codex Plugin Automated Experimentation Performance Optimization Code Optimization Benchmarking

View on GitHub All Bookmarks

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Discover Similar Content

GitHub - uditgoenka/autoresearch: Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy’s autoresearch. Modify → Verify → Keep/Discard → Repeat forever.

GitHub - openai/codex-plugin-cc: Use Codex from Claude Code to review code or delegate tasks.

Sarah Chieng on X: “How to stop your autoresearch loop from cheating” / X

Discover Similar Content

Summary

Topics

Discover Similar Content

GitHub - uditgoenka/autoresearch: Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy’s autoresearch. Modify → Verify → Keep/Discard → Repeat forever.

GitHub - openai/codex-plugin-cc: Use Codex from Claude Code to review code or delegate tasks.

Sarah Chieng on X: “How to stop your autoresearch loop from cheating” / X