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AI-driven code management automation tool

AutoPR is an AI-powered tool that automates code management tasks, including generating living summaries in READMEs, tracking TODOs in issues, and summarizing changes in pull requests. It offers customizable workflows configured via YAML.

Details

Free
Open Source
AutoPR Agent's User Interface

AutoPR: AI-Powered Code Management Automation

Overview

AutoPR is an innovative AI-driven tool designed to streamline and enhance code management processes. By leveraging artificial intelligence, AutoPR automates various tasks, making it easier for developers to maintain, document, and improve their codebase.

Key Features

🌳 Living Summaries in Nested READMEs

AutoPR automatically generates and updates comprehensive summaries of your code structure in nested README files. This feature provides an always up-to-date overview of your project, making it easier for team members and contributors to understand the codebase at a glance.

📝 Automated TODO Tracking

Say goodbye to forgotten tasks! AutoPR keeps track of TODOs by automatically creating and managing issues. This ensures that all necessary tasks are documented and easily accessible within your project management workflow.

⏳ Git-Based API Call History

AutoPR maintains a historical record of API call results directly in your git repository. This feature allows you to track changes over time and provides valuable insights into the evolution of your project's interactions with external services.

📄 Pull Request Summaries

By simply adding a 'summarize' label to a pull request, AutoPR generates a concise summary of the changes. This feature streamlines code reviews and helps team members quickly understand the impact of proposed modifications.

🫵 Custom YAML-Configured Actions

AutoPR offers flexibility through custom actions that can be easily configured using YAML. This allows you to tailor the tool to your specific project needs and workflow requirements.

Getting Started

To begin using AutoPR, please refer to the installation guide. The guide provides step-by-step instructions to set up AutoPR in your development environment.

Example: Living README

AutoPR's Living README feature provides an excellent demonstration of its capabilities. Here's a sample of what you can expect:

🌳 Living Summary
This folder contains various files and folders related to automating tasks and workflows. It includes a Dockerfile for setting up a Docker image, a license file specifying the terms of use, a Makefile for automating development tasks, an action configuration file for a pull request workflow, a shell script for executing a Python module, a lock file and a configuration file for a Python project using Poetry, JSON schemas for defining strict workflows and trigger configurations, and a JSON schema for defining workflow definitions.

This summary automatically updates as your project structure changes, ensuring that your documentation always reflects the current state of your codebase.

Maintainer Note

While AutoPR has been used internally, it's important to note that the project is currently not actively maintained. For users who prefer the autonomous pull request generation feature available in earlier versions, you can use the following configuration in your GitHub Actions YAML:

uses: docker://ghcr.io/irgolic/autopr:v0.1.2

Conclusion

AutoPR is a powerful tool that brings AI-driven automation to your code management processes. By handling routine tasks and providing intelligent summaries and tracking, it allows developers to focus on what matters most – writing great code. Whether you're managing a small project or a large codebase, AutoPR can help streamline your workflow and improve your team's productivity.

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