Configure and optimize Aider AI pair programming tool with best practices for your project workflow.
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Optimizes your Aider setup by generating a customized `.aider.conf.yml` configuration file tailored to your project needs, team workflow, and preferred AI models.
This skill helps you configure Aider, the AI pair programming tool, by:
1. Analyzing your project structure and requirements
2. Recommending optimal model selections and settings
3. Configuring git integration, linting, and testing workflows
4. Setting up appropriate output and history file preferences
5. Generating a production-ready `.aider.conf.yml` file
Follow these steps to create an optimized Aider configuration:
Ask the user:
Check for:
Based on the gathered context, recommend:
**Model Selection:**
**Git Settings:**
**Linting & Testing:**
**Output Settings:**
Create a `.aider.conf.yml` file with:
```yaml
model: <recommended-model>
weak-model: <recommended-weak-model>
git: true
auto-commits: true
dirty-commits: true
attribute-author: true
attribute-committer: true
gitignore: true
dark-mode: <true/false>
light-mode: <true/false>
pretty: true
stream: true
code-theme: <theme>
show-diffs: true
auto-lint: true
lint-cmd:
- "<language>: <lint-command>"
test-cmd: "<test-command>"
auto-test: false
input-history-file: .aider.input.history
chat-history-file: .aider.chat.history.md
restore-chat-history: false
map-tokens: 1024
map-refresh: auto
cache-prompts: false
verify-ssl: true
check-update: true
encoding: utf-8
```
Explain to the user:
**Basic Commands:**
```bash
aider src/main.py src/utils.py
aider --read docs/api.md src/app.py
aider --message "Add error handling to the login function"
aider --lint
aider --test
```
**Configuration Overrides:**
**API Key Management:**
Provide these best practices:
1. **Start Conservative:** Enable auto-commits and auto-lint, but keep auto-test off until workflow is stable
2. **Use Read-Only Files:** Add documentation, schemas, and API references with `--read` for context without modification risk
3. **Leverage Repo Map:** Keep `map-tokens: 1024` for good context awareness without token waste
4. **Git Workflow:** Review diffs before committing with `show-diffs: true`
5. **Model Selection:** Use weaker/cheaper models for simple tasks, stronger models for architecture decisions
6. **Subtree Mode:** Use `subtree-only: true` for monorepos to limit scope
**Scenario 1: Python Data Science Project**
```yaml
model: claude-3-5-sonnet-20240620
weak-model: gpt-4o-mini
dark-mode: true
code-theme: monokai
auto-lint: true
lint-cmd:
- "python: ruff check --fix"
test-cmd: "pytest tests/"
auto-test: false
```
**Scenario 2: JavaScript Frontend Development**
```yaml
model: gpt-4o
weak-model: gpt-4o-mini
light-mode: true
code-theme: solarized-light
auto-lint: true
lint-cmd:
- "javascript: eslint --fix"
- "typescript: eslint --fix"
test-cmd: "npm test"
auto-test: false
```
**Scenario 3: Cost-Conscious Full-Stack**
```yaml
model: deepseek/deepseek-coder
weak-model: gpt-4o-mini
dark-mode: true
auto-commits: true
auto-lint: true
map-tokens: 512 # Reduced for cost savings
```
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