Vibe Check

A vibe check is a quick validation of AI-generated code to ensure it meets expectations before accepting or integrating it. Vibe checks catch obvious issues, verify understanding, and maintain code quality without the overhead of formal review — essential when moving fast with AI assistance.

Example

Before accepting AI's implementation of a payment function, you do a vibe check: Does the logic make sense? Are edge cases handled? Does it match our patterns? Does anything feel off? Takes 30 seconds, prevents hours of debugging.

Vibe checks are the lightweight quality gates that make fast AI-assisted development sustainable. They sit between "blindly accept everything" and "formally review every line."

The Vibe Check Mindset

Not a deep review. A quick sanity check asking:

  • Does this look right?
  • Does anything feel off?
  • Would I be comfortable shipping this?
  • Do I understand what this does?

Trust your instincts — experienced developers often sense problems before identifying them.

What to Vibe Check

Always check:

  • Security-related code
  • Data handling logic
  • External API calls
  • User input processing

Quick check:

  • Standard CRUD operations
  • UI components
  • Configuration changes
  • Documentation

Can skip:

  • Trivial changes
  • Formatting-only updates
  • Well-tested patterns

The 30-Second Vibe Check

  1. Scan structure — Does organization make sense?
  2. Check logic — Does the flow look correct?
  3. Spot red flags — Any hardcoded values, missing error handling, obvious gaps?
  4. Gut check — Does anything feel wrong?

If anything triggers concern, investigate deeper or ask AI to explain.

Vibe Check vs Formal Review

Vibe CheckFormal Review
30 seconds10+ minutes
Intuition-basedSystematic
Catches obvious issuesCatches subtle issues
Every AI generationCritical code paths

Use both: vibe checks everywhere, formal reviews where it matters.

Developing Vibe Check Instincts

  • Review AI output frequently (builds pattern recognition)
  • When bugs occur, note what you missed
  • Learn common AI failure modes
  • Trust your sense that "something's off"