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Quick Start

Get your first Dev Agent running in minutes with these simple steps.

Installation Options

Option 1: Docker

I. Get and edit configuration: * Run the Setup Wizard: https://setup.dev-agents.ai to create a configuration for your setup. * Alternatively, download example configuration: 

wget -O .env https://raw.githubusercontent.com/codeligence/dev-agents/refs/heads/main/.env.example
* For LLM config, see also https://ai.pydantic.dev/api/models/base/ for supported models.

II. Mount repository and start container: * Your repository needs to be already cloned locally. 

# Mount cloned repository and configuration
docker run --rm -it --env-file=.env -v your/local/repo/path:/code codeligence/dev-agents


 Add `-v` argument to see verbose logs.

Option 2: Clone and run (requires Python 3.11+):

I. Clone Dev Agents: * Clone the repository: 

git clone https://github.com/codeligence/dev-agents.git
cd dev-agents

II. Get and edit configuration: * Run the Setup Wizard: https://setup.dev-agents.ai * Or use example .env: 

cp .env.example .env
* Fill in credentials for your version control provider (Gitlab/Github), LLM provider (Anthropic/OpenAI), and optional integrations (Jira/DevOps) * Choose LLM model (OpenAI/Anthropic) - see https://ai.pydantic.dev/api/models/base/ for supported models

III. Install dependencies and run Dev Agents

  ```bash
  pip install -e .[all]     
  python -m entrypoints.main
  ```

First Interaction

Once running, interact with your agent in your tools (e.g. Slack):

@DevAgents release notes for pull request 123 please

Next Steps

  1. Configure your integrations - See the Configuration section
  2. Set up your team - Add Dev Agents to Slack, Azure DevOps, or other tools
  3. Customize your agent - Modify prompts and behavior for your workflow

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