code-review-checklist

Code Review Checklist

Quick Review Checklist

Correctness

• Code does what it's supposed to do
• Edge cases handled
• Error handling in place
• No obvious bugs

Security

• Input validated and sanitized
• No SQL/NoSQL injection vulnerabilities
• No XSS or CSRF vulnerabilities
• No hardcoded secrets or sensitive credentials
• AI-Specific: Protection against Prompt Injection (if applicable)
• AI-Specific: Outputs are sanitized before being used in critical sinks

Performance

• No N+1 queries
• No unnecessary loops
• Appropriate caching
• Bundle size impact considered

Code Quality

• Clear naming
• DRY - no duplicate code
• SOLID principles followed
• Appropriate abstraction level

Testing

• Unit tests for new code
• Edge cases tested
• Tests readable and maintainable

Documentation

• Complex logic commented
• Public APIs documented
• README updated if needed

AI & LLM Review Patterns (2025)

Logic & Hallucinations

• Chain of Thought: Does the logic follow a verifiable path?
• Edge Cases: Did the AI account for empty states, timeouts, and partial failures?
• External State: Is the code making safe assumptions about file systems or networks?

Prompt Engineering Review

// ❌ Vague prompt in code
const response = await ai.generate(userInput);

// ✅ Structured & Safe prompt
const response = await ai.generate({
  system: "You are a specialized parser...",
  input: sanitize(userInput),
  schema: ResponseSchema
});

Anti-Patterns to Flag

// ❌ Magic numbers
if (status === 3) { ... }

// ✅ Named constants
if (status === Status.ACTIVE) { ... }

// ❌ Deep nesting
if (a) { if (b) { if (c) { ... } } }

// ✅ Early returns
if (!a) return;
if (!b) return;
if (!c) return;
// do work

// ❌ Long functions (100+ lines)
// ✅ Small, focused functions

// ❌ any type
const data: any = ...

// ✅ Proper types
const data: UserData = ...