AI Rank
中文
← Open Source
irgolic

AutoPR

AutoPR autonomously wrote pull requests in response to issues.

ApplicationsCodingPython
Open on GitHub
Momentum
+0stars in 24 hours0.0%
1.37k
Stars
93
Forks
+1
This week
11
Contributors
Created 2023-03-18 · Updated 2026-10-12 · #10534 today
Top developers
irgolictjazerzenPireIre

irgolic/AutoPR is ranked 10,534 with 1,373 stars.

Same-category comparison

irgolic/AutoPR is ranked 10,534 among these 8 peers; egoist/chatwise-releases is ranked 10,540.

Same-category comparison
NameRankMetrics
AnandChowdhary/continuous-claude10,509
Language:
Shell
Stars:
1,383
Forks:
97
Description:
🔂 Ralph loop with PRs: Run Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging.
myhub/tr10,513
Language:
Python
Stars:
1,383
Forks:
385
nishiwen1214/ChatReviewer10,518
Language:
Python
Stars:
1,379
Forks:
122
zbirenbaum/copilot-cmp10,525
Language:
Lua
Stars:
1,375
Forks:
68
Description:
Lua plugin to turn github copilot into a cmp source.
egoist/chatwise-releases10,540
Language:
TypeScript
Stars:
1,372
Forks:
50
Description:
The fastest AI Chatbot for any LLM.
firecrawl/open-scouts10,544
Language:
TypeScript
Stars:
1,371
Forks:
188
Description:
🔥 AI-powered web monitoring platform. Create automated scouts that search the web and send email alerts when they find what you're looking for.
ntegrals/10x10,550
Language:
TypeScript
Stars:
1,369
Forks:
115
Description:
⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, BYOK, fully self-hosted.
Kuingsmile/word-GPT-Plus10,555
Language:
TypeScript
Stars:
1,368
Forks:
231
Description:
Word GPT Plus is a word add-in which integrates the AI&Agent into Microsoft Word.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryApplications
SubcategoryCoding
Stars1,373
Forks93
Contributors11
Created date2023-03-18
Updated date2026-10-12
Stars in 1 day0
Stars in 7 days1
Rank10,534
Previous rank10,530
Rank change-4
7-day stars rank9,900
Previous 7-day stars rank9,962
7-day stars rank change62
Total stars rank8,703
Previous total stars rank8,692
Total stars rank change-11
README summary

🌳 AutoPR 🌳 AutoPR autonomously wrote pull requests in response to issues. A vision of user experience I had in March of 2023, back when OpenAI had just launched its first "ChatGPT API". As far as I am aware, AutoPR was the first bot to autonomously generate pull requests in response to issues. Like most demos back in the day, it worked about 20% of the time. What inspired the initial weekend coding sprint was Guardrails, who were prompting LLMs to generate

structured data with JSON Schemas, and reasking it when it did not adhere. This was a time before grammar-powered structured data generation. Triggered by adding a label containing to an issue, AutoPR would: 1. Open a pull request 💎 Examples Well-written issues often lead to better results. Create a dice rolling bot Create a 'Tech Jargon Generator' Create a user-friendly weather app Write three programming interview challenges Replace with 🤞 Limitations This GitHub Action was **in development**, and in

**alpha release**. It still: Incorrectly referenced code in other files Duplicated lines Called functions that don't exist Only worked on GitHub (see #46) 🔨 Usage Please see USAGE.

Frequently asked questions

How many stars and forks are recorded?

irgolic/AutoPR has 1,373 stars and 93 forks.

What is the repository rank?

irgolic/AutoPR is ranked 10,534.

What language and category are recorded?

irgolic/AutoPR has 1,373 stars, uses Python and belongs to Applications.

Which repository is closest in rank?

irgolic/AutoPR is compared with egoist/chatwise-releases, ranked 10,540 with 1,372 stars.

README

🌳 AutoPR 🌳

AutoPR autonomously wrote pull requests in response to issues.
Built with Guardrails.

What is this?

A vision of user experience I had in March of 2023, back when OpenAI had just launched its first "ChatGPT API".

As far as I am aware, AutoPR was the first bot to autonomously generate pull requests in response to issues. Like most demos back in the day, it worked about 20% of the time.

What inspired the initial weekend coding sprint was Guardrails, who were prompting LLMs to generate structured data with JSON Schemas, and reasking it when it did not adhere. This was a time before grammar-powered structured data generation.

Enjoy this brief glimpse into the past. 🜂

💪 How did it work?

Triggered by adding a label containing AutoPR to an issue, AutoPR would:

  1. Plan a fix
  2. Write the code
  3. Push a branch
  4. Open a pull request

💎 Examples

Well-written issues often lead to better results.

🤞 Limitations

This GitHub Action was in development, and in alpha release.

It still:

🔨 Usage

Please see USAGE.md for more information.

📝 Contributing

Please see CONTRIBUTING.md for more information.

Nearby in the ranking
Similar items