Aider configuration optimized for background execution using local Ollama with llama3 model, auto-commit workflow, and efficient resource usage for automation suites.
This skill configures Aider for automated, background execution using a local Ollama instance with the llama3 model. Optimized for automation suites that require efficient resource usage and automatic commit workflows.
This setup enables:
When setting up Aider for background automation with Ollama:
1. **Model Configuration**
- Use `ollama/llama3` as the primary model
- Set edit format to `diff` for efficient code changes
- Configure map tokens to 1024 for optimal codebase navigation
2. **Auto-Commit Workflow**
- Enable `auto-commit: true` to automatically commit changes
- Enable `dirty-commits: true` to allow commits even with uncommitted changes
- Enable `attribute-author: true` to properly attribute AI-generated commits
- Enable `attribute-committer: true` to track who initiated the AI session
3. **Background Execution Settings**
- Set `stream: false` to disable streaming output (better for background jobs)
- Enable `dark-mode: true` for consistent terminal output
- Enable `gitignore: true` to respect repository ignore patterns
- Enable `restore-chat-history: true` to maintain context across sessions
4. **Resource Optimization**
- Set `map-tokens: 1024` to balance context awareness with performance
- Use diff format to minimize token usage during edits
5. **Implementation Steps**
- Create `.aider.conf.yml` in your project root
- Ensure Ollama is installed and running locally
- Verify llama3 model is pulled in Ollama
- Test configuration with a simple code change before automation
This configuration is ideal for:
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