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Design a self-coordinating agent team for autonomous software development

FreeFree tier
Inputs: textOutputs: code
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

Autonomous Software Factory Orchestrator is a detailed prompt designed for AI coding agents to function as a self-coordinating team. It outlines a system where a human provides lightweight, asynchronous chat messages (e.g., via Discord), and a team of autonomous 'claws' (coding agents) plan, build, test, recover, and push code without micromanagement. The prompt defines a three-part coordination system: OmX (workflow layer that converts short directives into execution protocols), clawhip (event and notification router), and OmO (multi-agent coordinator). It emphasizes externalizing meta-concerns like status formatting and lifecycle monitoring outside the coding agent's context window to maintain focus on implementation. Inspired by the ultraworkers/claw-code repository (which gained 191k+ stars), this prompt is part of the ai-boost/awesome-prompts collection.

Key Features

Human interface via lightweight asynchronous chat messages (e.g., Discord), no need to stay online
Three-part coordination system: OmX (workflow layer), clawhip (event/notification router), OmO (multi-agent coordinator)
Externalizes meta-concerns (status formatting, notification routing, lifecycle monitoring) outside the coding agent's context window
Agents self-coordinate: plan, build, test, recover, and push code autonomously
Return results to the human only at a passing state or when blocking decisions require judgment

Pros & Cons

Pros
  • Reduces human micromanagement by allowing agents to self-coordinate
  • Agents stay focused on implementation by offloading meta-work to an external layer
  • Scalable design for asynchronous, long-running development tasks
  • Based on a real-world repository that achieved rapid popularity (191k+ stars)
Cons
  • Requires architectural clarity and careful task decomposition by the human
  • May struggle with vague or highly complex human directives that need nuanced judgment
  • The system assumes agents can effectively self-coordinate, which may not hold for all LLMs or contexts
  • Limited to a specific prompt template; not a standalone tool

Best For

Autonomous software development with minimal human oversightDesigning a multi-agent system for coding tasks in a factory-like pipelinePrototyping agent coordination patterns for complex software projectsEducational reference for building agent-based development workflows

FAQ

What is the core design principle of this prompt?
The design abstracts meta-work (status routing, notifications, lifecycle monitoring) away from the coding agents' context window so they can focus solely on implementation.
How does the human interact with the agent team?
Humans provide short, directional chat messages (e.g., via Discord) and can walk away; agents read and execute, returning results only when a passing state or a blocking decision arises.
What is the source of this prompt?
It is inspired by the ultraworkers/claw-code repository on GitHub, which is noted for reaching over 191,000 stars quickly.
What are the three components of the coordination system?
OmX (workflow layer for converting directives to execution protocols), clawhip (event and notification router), and OmO (multi-agent coordinator).