Which AI backends can I use with Codeagent?

Codeagent supports OpenAI Codex for logic, Anthropic Claude for documentation and general tasks, and Google Gemini for UI/UX and frontend components.

How do I reference project files in my tasks?

You can use the @ syntax (e.g., @src/main.js) to include specific file contents as context for the AI backend.

Can I resume a previous session?

Yes, the skill includes a resume command that allows you to provide follow-up instructions to a specific session ID.

What is the benefit of the tmux integration?

The --tmux-session flag provides a visual dashboard to monitor multiple concurrent AI tasks in real-time, which is ideal for complex orchestration.

Does Codeagent support parallel processing?

Yes, it features a robust parallel execution mode that handles task dependencies and allows for concurrent processing with configurable worker limits.

Multi-Backend Code Agent

Name: Multi-Backend Code Agent
Author: PeterFile

byPeterFile

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Productivity & Workflow

Orchestrates complex coding tasks across multiple AI backends like Codex, Claude, and Gemini with parallel execution support.

About

The Codeagent skill provides a high-performance wrapper for managing sophisticated AI-driven development workflows. It allows developers to dispatch tasks to the most suitable AI model—leveraging Codex for complex logic, Gemini for UI components, and Claude for documentation—all within a unified interface. Designed for automation and scale, it features parallel execution with dependency management, tmux integration for real-time visualization, and context-aware file references, making it an essential tool for large-scale refactoring and multi-agent orchestration.

Key Features

Pluggable AI backends including Codex, Claude, and Gemini
Context-aware file referencing using simple @path syntax
Real-time status tracking via tmux visualization and state files
25 GitHub stars
Session persistence for resuming complex multi-step workflows
Parallel task execution with intelligent dependency management

Use Cases

Multi-agent orchestration for synchronized frontend and backend development
Large-scale refactoring and code analysis across multiple file systems
Automated code review and security auditing with backend-specific strengths

About

Key Features

Pluggable AI backends including Codex, Claude, and Gemini
Context-aware file referencing using simple @path syntax
Real-time status tracking via tmux visualization and state files
25 GitHub stars
Session persistence for resuming complex multi-step workflows
Parallel task execution with intelligent dependency management

Use Cases

Multi-agent orchestration for synchronized frontend and backend development
Large-scale refactoring and code analysis across multiple file systems
Automated code review and security auditing with backend-specific strengths