audit-pipeline-quickstart

Audit Pipeline - Quick Start

🚀 One Command to Production-Ready Code

/audit-pipeline

That's it! This runs all 3 phases automatically:

1. Theater Detection - Find all mocks/fakes
2. Functionality - Test everything (with Codex auto-fix)
3. Style - Polish to production standards

📊 The 3 Phases

Phase	What It Does	Time	Can Run Alone
1. Theater	Find mocks, TODOs, stubs	2-5 min	/theater-detection-audit
2. Functionality	Test + Codex auto-fix	5-15 min	/functionality-audit
3. Style	Lint + refactor + polish	3-10 min	/style-audit

Total: ~15-30 min for medium project

💡 Common Use Cases

Pre-Production Deployment

/audit-pipeline "Pre-production quality gate for v2.0 release"

After Rapid Prototyping

/audit-pipeline "Harden prototype code for production"

Legacy Code Cleanup

/audit-pipeline "Modernize legacy authentication module"

Before Code Review

/audit-pipeline "Clean up feature branch before PR"

🎯 What You Get

Before

def get_user(id):
    return {"id": 123, "name": "Test"}  # FAKE DATA - TODO: real DB

After Phase 1 (Theater Detected)

⚠️ Theater found: Hardcoded test data in get_user()
→ Needs: Real database query implementation

After Phase 2 (Functionality + Codex)

def get_user(user_id):
    with get_db_connection() as conn:
        result = conn.execute("SELECT * FROM users WHERE id=?", (user_id,))
        if not result:
            raise UserNotFoundError(f"User {user_id} not found")
        return {"id": result[0], "name": result[1]}

✅ Tested in sandbox, Codex fixed 2 edge cases

After Phase 3 (Style Polish)

def get_user(user_id: int) -> Dict[str, Any]:
    """
    Fetch user from database by ID.

    Args:
        user_id: Unique user identifier

    Returns:
        User data dictionary

    Raises:
        UserNotFoundError: If user doesn't exist
    """
    logger.debug(f"Fetching user {user_id}")

    with get_db_connection() as conn:
        cursor = conn.cursor()
        cursor.execute(
            "SELECT id, name, email FROM users WHERE id = ?",
            (user_id,)
        )
        result = cursor.fetchone()

        if not result:
            raise UserNotFoundError(f"User {user_id} not found")

        return {
            "id": result[0],
            "name": result[1],
            "email": result[2]
        }

✅ Production-ready with types, docs, logging, validation!