How to Sanitize Code Comments and Documentation Before Using AI: Complete Guide

You're sharing a code snippet with AI for debugging, review, or improvement. But that code has comments, maybe some hardcoded credentials, and potentially sensitive internal references.

Developers accidentally leak sensitive information through code all the time. This guide covers code sanitization for AI—sharing code safely with AI tools.

What's Sensitive in Code

• API keys: AWS, Stripe, Google keys
• Passwords: Hardcoded credentials
• Internal URLs: Private endpoints
• Comments: Internal notes, issues, to-dos
• Employee names: In comments or author tags

Code Sanitization

// Before:
// Connect to AWS with key AKIAIOSFODNN7EXAMPLE
// User: admin, Pass: S3cr3tP@ss!
const awsConfig = {
  key: process.env.AWS_KEY,
  region: 'us-east-1'
};

// After:
// AWS configuration (use environment variables)
// See deployment guide for setup
const awsConfig = {
  key: process.env.AWS_KEY,
  region: 'us-east-1'
};

Comment Sanitization

/* Author: John Smith (john@company.com) */
// Last modified: Account #48291
// TODO: Fix bug with API key refresh

/* 
 * Configuration
 * Author: [DEVELOPER_1]
 * References: [CLIENT_SYSTEM]
 */

Best Practices

1. Never paste real credentials
2. Use environment variables in examples
3. Remove internal references in comments
4. Anonymize author information

Conclusion: Code Is Property

Code represents your intellectual property. Share it safely with AI—redact credentials, credentials, and internal references first.

Share code, not secrets.