> ## Documentation Index
> Fetch the complete documentation index at: https://docs.delino.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Configuring AI Agent

> Learn how to configure AI agents for your DevBird workflow

DevBird supports multiple AI agent providers to power your development automation. Choose the right agent based on your use case and budget.

## Supported AI Agents

You can configure the following AI agents in DevBird:

* [Claude Code](/devbird/ai-agents/claude-code)
* [Codex CLI](/devbird/ai-agents/codex-cli)
* [Crush CLI (WIP)](/devbird/ai-agents/crush-cli)
* [Gemini CLI (WIP)](/devbird/ai-agents/gemini-cli)
* [GitHub Copilot CLI (WIP)](/devbird/ai-agents/github-copilot-cli)
* [OpenCode (WIP)](/devbird/ai-agents/opencode)

## Recommendations

### For Testing & Experimentation

If you're testing DevBird or evaluating its capabilities, we recommend **OpenAI Codex with API Key** configuration:

* Quick setup with just an API key
* Pay-per-use pricing
* Good performance for basic automation tasks
* No subscription commitment required

### For Production Use

If you're serious about using DevBird in your development workflow, we strongly recommend **Claude Code with Max Plan**:

* Superior code understanding and generation
* Best-in-class context handling
* Optimized for complex refactoring and architectural tasks
* Higher usage limits with Max subscription
* Most reliable for production workflows

## Using Multiple Agents

You can configure multiple AI agents in your GitHub repository. Once configured, you can select which agent to use for each task directly within the DevBird app.