defense-in-depth

name	defense-in-depth
description	Use when invalid data causes failures deep in execution - validates at every layer data passes through to make bugs structurally impossible rather than temporarily fixed

Defense-in-Depth Validation

Overview

When you fix a bug caused by invalid data, adding validation at one place feels sufficient. But that single check can be bypassed by different code paths, refactoring, or mocks.

Core principle: Validate at EVERY layer data passes through. Make the bug structurally impossible.

When to Use

Use when:

• Invalid data caused a bug deep in the call stack
• Data crosses system boundaries (API → service → storage)
• Multiple code paths can reach the same vulnerable code
• Tests mock intermediate layers (bypassing validation)

Don't use when:

• Pure internal function with single caller (validate at caller)
• Data already validated by framework/library you trust
• Adding validation would duplicate identical checks at adjacent layers

The Four Layers

Layer 1: Entry Point Validation

Purpose: Reject invalid input at API/system boundary

function createProject(name: string, workingDirectory: string) {
  if (!workingDirectory?.trim()) {
    throw new Error('workingDirectory cannot be empty');
  }
  if (!existsSync(workingDirectory)) {
    throw new Error(`workingDirectory does not exist: ${workingDirectory}`);
  }
  // ... proceed
}

When needed: Always. This is your first line of defense.

Layer 2: Business Logic Validation

Purpose: Ensure data makes sense for this specific operation

function initializeWorkspace(projectDir: string, sessionId: string) {
  if (!projectDir) {
    throw new Error('projectDir required for workspace initialization');
  }
  // ... proceed
}

When needed: When business rules differ from entry validation, or when mocks might bypass Layer 1.

Layer 3: Environment Guards

Purpose: Prevent dangerous operations in specific contexts

async function gitInit(directory: string) {
  if (process.env.NODE_ENV === 'test') {
    const normalized = normalize(resolve(directory));
    if (!normalized.startsWith(tmpdir())) {
      throw new Error(`Refusing git init outside temp dir in tests: ${directory}`);
    }
  }
  // ... proceed
}

When needed: When operation is destructive/irreversible, especially in test environments.

Layer 4: Debug Instrumentation

Purpose: Capture context for forensics when other layers fail

async function gitInit(directory: string) {
  logger.debug('git init', { directory, cwd: process.cwd(), stack: new Error().stack });
  // ... proceed
}

When needed: When debugging is difficult, or when you need to trace how bad data arrived.

Decision Heuristic

Situation	Layers Needed
Public API, simple validation	1 only
Data crosses multiple services	1 + 2
Destructive operations (delete, init, write)	1 + 2 + 3
Chasing a hard-to-reproduce bug	1 + 2 + 3 + 4
Tests mock intermediate layers	At minimum: 1 + 3

Applying the Pattern

When you find a bug caused by invalid data:

1. Trace the data flow - Where does the bad value originate? Where is it used?
2. Map checkpoints - List every function/layer the data passes through
3. Decide which layers - Use heuristic above
4. Add validation - Entry → business → environment → debug
5. Test each layer - Verify Layer 2 catches what bypasses Layer 1

Quick Reference

Layer	Question It Answers	Typical Check
Entry	Is input valid?	Non-empty, exists, correct type
Business	Does it make sense here?	Required for this operation, within bounds
Environment	Is this safe in this context?	Not in prod, inside temp dir, etc.
Debug	How did we get here?	Log stack, cwd, inputs

Common Mistakes

Mistake	Fix
One validation point, call it done	Add at least entry + business layers
Identical checks at adjacent layers	Make each layer check something different
Environment guards only in prod	Add them in test too (prevent test pollution)
Skipping debug logging	Add it during the bug hunt, keep it
Validation but no useful error message	Include the bad value and expected format

Key Insight

During testing, each layer catches bugs the others miss:

• Different code paths bypass entry validation
• Mocks bypass business logic checks
• Edge cases need environment guards
• Debug logging identifies structural misuse

Don't stop at one validation point. The bug isn't fixed until it's impossible.