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Humanize

Current Version: 1.15.1

Derived from the GAAC (GitHub-as-a-Context) project.

A Claude Code plugin that provides iterative development with independent AI review. Build with confidence through continuous feedback loops.

What is RLCR?

RLCR stands for Ralph-Loop with Codex Review, inspired by the official ralph-loop plugin and enhanced with independent Codex review. The name also reads as Reinforcement Learning with Code Review -- reflecting the iterative cycle where AI-generated code is continuously refined through external review feedback.

Core Concepts

  • Iteration over Perfection -- Instead of expecting perfect output in one shot, Humanize leverages continuous feedback loops where issues are caught early and refined incrementally.
  • One Build + One Review -- Claude implements, Codex independently reviews. No blind spots.
  • Ralph Loop with Swarm Mode -- Iterative refinement continues until all acceptance criteria are met. Optionally parallelize with Agent Teams.
  • Begin with the End in Mind -- Before the loop starts, Humanize verifies that you understand the plan you are about to execute. The human must remain the architect. (Details)

How It Works

RLCR Workflow

The loop has two phases: Implementation (Claude works, Codex reviews summaries) and Code Review (Codex checks code quality with severity markers). Issues feed back into implementation until resolved.

Install

# Add humania marketplace
/plugin marketplace add humania-org/humanize
# If you want to use development branch for experimental features
/plugin marketplace add humania-org/humanize#dev
# Then install humanize plugin
/plugin install humanize@humania

Requires codex CLI for review. See the full Installation Guide for prerequisites and alternative setup options.

Quick Start

  1. Generate a plan from your draft:

    /humanize:gen-plan --input draft.md --output docs/plan.md
  2. Refine an annotated plan before implementation when reviewers add CMT: ... ENDCMT comments:

    /humanize:refine-plan --input docs/plan.md
  3. Run the loop:

    /humanize:start-rlcr-loop docs/plan.md
  4. Monitor progress:

    source <path/to/humanize>/scripts/humanize.sh
    humanize monitor rlcr

Monitor Dashboard

Humanize Monitor

Documentation

License

MIT

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