TL;DR
Aider is an open-source terminal AI coding tool that sends your code to whatever LLM you configure. Security comes down to two things: your provider's data policies, and whether you review generated code before it ships. Protect API keys with environment variables, use .aiderignore for sensitive files, and always review changes before committing.
How Aider Works
Aider is a command-line AI pair programming tool:
- Terminal-based: Runs in your terminal, edits files directly
- Git-aware: Understands your repository and can make commits
- Multi-file: Can edit multiple files in a single request
- Open source: Code is publicly available for audit
Security Considerations
API Key Protection
You'll need an API key for your LLM provider. Here's how to keep it safe:
- Use environment variables, not command-line arguments
- Don't add API keys to shell history
- Never commit .aider.conf with API keys
- Consider using a secrets manager
Shell history: Avoid aider --api-key sk-xxx as this saves your key in shell history. Use export OPENAI_API_KEY=xxx instead.
Code Sent to LLM
Know exactly what Aider ships upstream:
- Files you add with
/addare sent as context - Git history may be included for context
- Your prompts and conversations are sent
- Use
.aiderignoreto exclude sensitive files
Configuring .aiderignore
Create a .aiderignore file to exclude sensitive files:
Example .aiderignore: Include patterns like .env*, secrets/, *.pem, and credentials.json to prevent sensitive files from being sent to the LLM.
LLM Provider Security
Aider supports multiple providers with different privacy policies:
- OpenAI: Check their data usage policy for API users
- Anthropic: Claude API has specific privacy terms
- Local models: Use Ollama or similar for maximum privacy
- Azure OpenAI: Enterprise data protection options
Using Local Models
Want zero cloud exposure? Run a local model through Ollama:
- No code leaves your machine
- Reduced capability compared to large cloud models
- Requires sufficient hardware
- Aider supports Ollama and similar tools
Generated Code Security
Every commit from Aider needs a security pass. Look for:
- Hardcoded credentials or API keys
- SQL injection vulnerabilities
- Missing input validation
- Insecure authentication patterns
- Overly permissive configurations
Git Integration Security
Aider can commit directly to your repository:
- Review diffs before accepting commits
- Don't auto-commit without review
- Use separate branches for AI changes
- Ensure .gitignore excludes sensitive files
Best Practices
For API Keys
- Store in environment variables
- Use .env files with proper .gitignore
- Rotate keys if accidentally exposed
- Set spending limits on API accounts
For Code Review
- Always review before committing
- Use
aider --no-auto-commitsfor manual control - Check security-sensitive changes carefully
- Run security scans on generated code
Is Aider safe to use for production code?
Aider is open-source and sends your code to whichever LLM you configure. Security depends on your provider's policies. Always review generated code for vulnerabilities before committing.
Where does Aider send my code?
To whatever LLM API you configure: OpenAI, Anthropic Claude, or others. Your code hits their servers for processing, so factor that in on sensitive projects.
How do I protect my API key when using Aider?
Store your API key in an environment variable, not in shell history or config files that might be committed. Aider reads from standard environment variables like OPENAI_API_KEY or ANTHROPIC_API_KEY.
Can I use Aider without sending code to the cloud?
Yes. Aider supports local models through Ollama and similar tools. This keeps all processing on your machine but may have reduced capability compared to large cloud models.
Using Aider?
Scan your project for security issues in AI-generated code.