async-code

🥈Silver

Async Code enables parallel execution of AI-powered coding tasks using Claude Code or CodeX CLI. Operations teams can manage multiple agents simultaneously through a Codex-style UI, streamlining workflows and improving efficiency. It connects to Claude Code and CodeX CLI, allowing for seamless integration into existing development environments.

507510Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/ObservedObserver/async-code.git

Works with:

Claude

Overview

About This Skill

https://github.com/user-attachments/assets/e490c605-681a-4abb-a440-323e15f1a90d

Use Cases

Run multiple AI agents to generate code snippets for different programming tasks simultaneously.

Compare the outputs of various AI models to determine the best solution for a coding problem.

Automate the creation of pull requests from successful coding tasks directly within the web interface.

Manage and execute parallel coding tasks for large projects to speed up development cycles.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/ObservedObserver/async-code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I need to perform these tasks in parallel using Claude Code: [TASK 1], [TASK 2], and [TASK 3]. Use the Codex-style UI to manage them. Provide a summary of the results in a structured format. For each task, include the output, any errors encountered, and suggested next steps.

Example Output

Here's the parallel task execution summary:

**Task 1: Data Analysis**
- Output: The dataset contains 1,200 records with 80% complete data.
- Errors: None
- Next Steps: Clean missing values in columns 3 and 7.

**Task 2: API Integration**
- Output: Successfully connected to the payment gateway API. Test transaction ID: TXN_987654.
- Errors: None
- Next Steps: Implement the production endpoint URL.

**Task 3: Code Refactoring**
- Output: Refactored the authentication module. Reduced lines of code by 25%.
- Errors: Deprecation warning in line 42 of auth_service.py.
- Next Steps: Update the deprecated method and run unit tests.

All tasks completed in 4 minutes 32 seconds.