Back to blog
How to Vibe Code

How to Vibe Code Checklist Before You Trust the Build

Use this how to vibe code checklist before you ship or resume a session so one forgotten detail does not turn fast progress into messy rework.

How to Vibe Code

If you are learning how to vibe code, the risky moment is not the first prompt. It is the point where the build seems good enough and you forget one detail that breaks the next session, introduces a bug, or leaves you unable to explain what changed.

This checklist is for the moments before you start, before you accept a change, and before you stop for the day. Miss one item and the cost is usually rework, duplicated effort, or a messy project you do not want to reopen.

How to vibe code without losing control

Use these checks in order. Each one is a single decision you can make quickly.

  • Can you name one specific outcome for this session? If the goal is fuzzy, the prompt will sprawl. Pick one thing you can test when the session ends.

  • Do you know what part of the codebase should change? Point the model at the right files, routes, or components so it does not roam through the whole app.

  • Have you stated the constraints that matter? Mention existing auth, schema rules, UI patterns, or libraries you want preserved. AI is more useful when the boundaries are explicit.

  • Is the request small enough to review? If the answer touches too many concerns at once, split it. Small changes are easier to debug and safer to accept.

  • Did you ask for explanation only where you need it? Sometimes you want code. Sometimes you want reasoning. Be clear which one you need so the output matches the job.

  • Can you review the diff and understand it? Do not merge mystery code into your project. If you cannot explain the change, you are not ready to trust it.

  • Did the tool add anything you did not ask for? Watch for extra abstractions, renamed variables, silent refactors, and new dependencies that increase future maintenance.

  • Have you tested the happy path? Confirm the main action works in the interface, not just in theory.

  • Have you tested an obvious failure path? Try empty states, invalid input, repeat actions, and refreshes. AI-generated code often looks complete before edge cases show up.

  • Did you inspect security-sensitive behavior? Review auth checks, permission logic, database writes, destructive actions, and secret handling before you deploy anything important.

  • Did you save the prompt if it produced a useful result? A prompt that solved a hard issue is reusable project knowledge. Keep it somewhere you can find later.

  • Did you capture what decision was made? One short note about what changed and why will save you time when you resume.

  • Is there one clear next action for the next session? End with a concrete task, not a vague intention. This is what makes restarting easy.

A compact checklist for starting a build session

  • One feature goal is defined
  • Relevant files or components are identified
  • Constraints are written into the prompt
  • The request is limited to one change set

A compact checklist for accepting AI-generated code

  • The diff is understandable
  • No unnecessary files or abstractions were added
  • Happy path works
  • Failure path works
  • Sensitive behavior was reviewed

A compact checklist for ending the session

  • Useful prompts are saved
  • Decision notes are captured
  • The next action is written clearly

What this looks like in practice

Say you are building a small SaaS in ChatGPT or Cursor and want to add a billing settings page. If you are serious about how to vibe code, you do not ask for billing, account management, invoices, notifications, and analytics in one shot.

You ask for the page shell, review the result, test the form state, save the prompt that generated the clean settings layout, and leave a note that the next task is validating server-side updates. A project needs one place where the current state lives. That is the gap a lightweight system like Solo Dev Log fills without adding heavy process.

When this checklist matters most

This list is especially useful when:

  • you are returning after a few days away
  • you are debugging code the AI wrote earlier
  • you are using multiple tools across the same project
  • you are moving fast and feel tempted to skip review
  • you want to reuse prompts instead of rewriting them from scratch

Vibe coding does not need a heavy process. It needs a lightweight memory.

If you only keep five items

If the full checklist feels too much, keep these five:

  • define one testable outcome
  • limit the scope of the request
  • review the diff
  • test one failure path
  • write the next action down

That is enough to make how to vibe code feel reliable instead of fragile. Save the prompts and todos your project depends on so your next build session starts with context instead of guesswork.

Keep the vibe. Lose the chaos.

You're already building. Now keep track of it.

Start your journal