regenrek

regenrek / codex-planr

Public

Simple tasks for Codex

17
1
100% credibility
Found Mar 20, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A copy-paste toolkit that adds structured planning, progress tracking, and review capabilities to code projects for better AI agent collaboration.

How It Works

1
📖 Discover Planr

You hear about a handy organizer that helps keep AI-assisted coding tasks structured and reliable in your project.

2
📁 Add to your project

Easily copy the organizer folder into your project's main directory to prepare it for use.

3
✨ Describe your project

Fill in simple notes about what your project does, its main parts, goals, and rules so the organizer knows your setup.

4
📝 Make a task plan

Create a clear plan for your next task, listing steps, checks, and success measures.

5
🔧 Do the work

Follow the plan step-by-step, make your changes, and note real progress along the way.

6
🔍 Review everything

Double-check the results against your plan with solid proof from changes and tests.

7
📊 See the status

Quickly view what's finished, stuck, or next to keep your work flowing smoothly.

✅ Tasks mastered!

Your project improvements are verified and organized, making future work even easier.

Sign up to see the full architecture

6 more

Sign Up Free

Star Growth

See how this repo grew from 17 to 17 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is codex-planr?

Codex-planr is a portable Python workflow you copy into any GitHub repo to structure AI agents like Codex around explicit plans, fixes, and reviews. It replaces vague chat-state with repo-local plans, JSON status tracking, and Git-diff audits, using simple CLI commands like planr-plan to scaffold tasks, planr-fix to implement, and planr-review to verify. Ideal for simple tasks ai can do, it enforces scoped ownership, phases, and exact verification commands/results.

Why is it gaining traction?

It stands out by keeping everything deterministic and repo-local—no external services or optimistic checklists—with queue commands like status-next picking the right task by precedence. Developers notice the honest status updates via git status and current.json, plus hard-cut policies that delete dead code paths cleanly. As a simple GitHub workflow example, it shines for simple tasks for Python beginners where AI handles execution but needs repo guidance.

Who should use this?

AI-curious Python devs or students on simple GitHub projects for students, like building a simple GitHub portfolio or action workflow example. Teams using Codex for simple tasks Python beginners face, where overwhelming simple tasks feel exhausting without structure—perfect for scoped fixes in simple GitHub repos.

Verdict

With 17 stars and 1.0% credibility, it's an early, experimental tool, but solid docs, CLI tests, and project templates make setup a breeze for Codex tinkerers. Drop it into a simple GitHub repo for simple tasks ai can do; skip if you need battle-tested maturity.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.