Code Audit

Systematic approach to reviewing codebase health and identifying improvements.

Audit Categories

1. Code Quality

Complexity Analysis

• •Cyclomatic complexity per function
• •Nesting depth
• •Function/file length
• •Dependency count

High Risk Indicators:
- Functions > 50 lines
- Cyclomatic complexity > 10
- Nesting depth > 4
- Files > 500 lines

Code Smells

• • Duplicated code
• • Long parameter lists
• • Dead code
• • Magic numbers/strings
• • God classes/functions
• • Feature envy
• • Inappropriate intimacy

2. Architecture

Module Analysis

• •Clear separation of concerns
• •Appropriate abstraction levels
• •Circular dependencies
• •Layer violations

Dependency Health

Check for each dependency:
- [ ] Still maintained?
- [ ] Known vulnerabilities?
- [ ] Major version behind?
- [ ] Unused?
- [ ] Duplicate functionality?

3. Security

Common Vulnerabilities

• • Injection flaws (SQL, command, XSS)
• • Broken authentication
• • Sensitive data exposure
• • Security misconfigurations
• • Missing access controls
• • Insecure dependencies

Secret Scanning

• • Hardcoded credentials
• • API keys in code
• • Private keys committed
• • Environment files in repo

4. Performance

Hotspot Analysis

• • N+1 queries
• • Unbounded loops
• • Missing pagination
• • Inefficient algorithms
• • Memory leaks
• • Synchronous blocking

Resource Usage

• • Database connection pooling
• • Cache utilization
• • Asset optimization
• • Bundle size

5. Maintainability

Documentation

• • README up to date
• • API documentation exists
• • Complex logic explained
• • Setup instructions work

Testing

• • Test coverage adequate
• • Tests actually test behavior
• • Flaky tests identified
• • Test data management

Audit Process

1. Automated Scans

Run tooling first to gather data:

# Linting
eslint . --report-unused-disable-directives

# Type checking
tsc --noEmit

# Security scanning
npm audit

# Dependency analysis
npx depcheck

# Complexity analysis
npx complexity-report src/

2. Manual Review

Focus areas for human review:

1. •Critical paths - Authentication, payment, data handling
2. •Recent changes - High churn areas
3. •Known problem areas - Historical issues
4. •Integration points - API boundaries

3. Prioritization

Score each finding:

Issue Classification

Severity Matrix

Issue Template

## Issue: [Title]

**Category:** Security / Bug / Performance / Debt
**Severity:** Critical / High / Medium / Low
**Location:** `path/to/file.ts:123`

### Description
What the issue is.

### Impact
Who is affected and how.

### Evidence
Code snippet, metrics, or reproduction steps.

### Recommendation
How to fix it.

### Effort
Estimated fix time: S/M/L/XL

Reporting

Executive Summary

One page for stakeholders:

• •Overall health score (A-F)
• •Critical issues count
• •Top 3 recommendations
• •Estimated remediation effort

Detailed Report

For engineering team:

• •All findings with evidence
• •Prioritized fix list
• •Technical recommendations
• •Tooling suggestions

Tracking Dashboard

Metrics to monitor:

Follow-up

Remediation Plan

1. •Fix critical security issues immediately
2. •Address high-severity bugs in current sprint
3. •Schedule medium issues in backlog
4. •Track low issues for opportunistic fixes

Re-audit Schedule

• •Critical paths: Monthly
• •Full audit: Quarterly
• •Dependency audit: Weekly (automated)