# Vibe Coding Prompts That Don't Turn Your Project Into Chaos

> Vibe coding prompts that keep a project under control: give context, work in small steps, set limits, ask for a plan first and check every result.

Published: 2025-04-02 · Source: https://subxcat.com/articles/vibe-coding-prompts · Author: SUBXCAT

Vibe coding prompts matter more than the choice of tool. Ask a model to "add proper authentication" and it may rewrite half the project. Ask the same model with context and boundaries and it carefully changes three files. The difference isn't magic words, it's how much the AI has to guess.

Here are five habits that keep a project in order. None of them require knowing how to program.

## Context first

The AI doesn't remember what you meant yesterday and doesn't know why your app exists. If you don't tell it, it will make something up, and what it makes up will be generic.

What to say at the start of a task:

- what the product is and who it's for, in a sentence or two;
- what the project is built on: framework, database, where it's hosted;
- which part of the app this touches: a screen, a table, a function;
- what already exists and what must not be touched.

Most tools let you keep standing instructions for a project, either a rules file or a settings section. Write down the stack, conventions and things to avoid once, so you don't repeat them in every message.

## Small steps, not big asks

"Build an account area with subscriptions, payments and order history" isn't a task, it's a project. The AI will try to do it all at once, cut corners somewhere, and you won't be able to check the result as a whole.

Break it into steps you can each verify by hand in a couple of minutes:

1. An orders table and a page listing them, with test data for now.
2. Tie orders to the current user.
3. Check that other people's orders aren't visible.
4. Connect payments in test mode.

A good rule: if after a step you can't say exactly what changed, the step was too big. And save a working state before each next step, as a commit or a version snapshot, depending on what your tool supports.

## Limits matter more than wishes

Saying what not to do is often more useful than describing in detail what to do. AI loves to "also improve" neighbouring code, swap a library or rename files.

Useful limits:

- "Only change files related to this page."
- "Don't add new libraries without asking."
- "Don't change the database schema unless I ask."
- "Secrets stay on the server, never in browser code."
- "If the task requires breaking any of these, stop and ask."

That last one matters most: it turns the AI's silent decisions into questions you actually see.

## Ask for a plan before code

For anything more complex than "change the button colour," ask for a plan first and code second. A plan takes a minute to read and shows whether you were understood.

```
Task: a user can cancel a booking up to 24 hours before it starts.
Don't write code yet. Describe the plan: which files you'll change,
what you'll add to the database, how the server will check the booking
belongs to this user and is more than a day away. List what could go wrong.
```

If the plan has something odd in it, such as a new table nobody needs or a check that only happens in the interface, fix it now. Fixing a plan is free. Fixing code isn't.

## Verify, don't trust

The AI will confidently say "done" when it has done half. After every step:

- open the app and walk through the scenario by hand, including the failure paths: empty field, someone else's account, double click;
- ask it to explain what changed and why, in plain words;
- ask directly: "What did you skip or simplify?" Models often own up if you ask;
- if the tool shows changes file by file, skim them: an unexpected file in the list is a reason to ask.

When something breaks, don't write "it doesn't work, fix it." Describe what you did, what you expected and what you saw, and paste the full error text. Without that, the AI starts guessing, and each attempt leaves the code a little worse.

## When to start over

If the third attempt to fix the same thing didn't help, stop. Roll back to the last working state, open a new conversation and describe the task again with what you've learned. Long threads accumulate wrong assumptions, and the model keeps building on them.

## In short

- A good vibe coding prompt starts with context: the product, the stack, the affected area and what not to touch.
- Take steps you can verify by hand in a couple of minutes, and save a working state between them.
- Limits and a "stop and ask" rule protect you from the AI's silent decisions.
- For anything non-trivial, plan first, code second.
- After each step, test the scenario by hand and ask what was simplified.

If your project has already got tangled, SUBXCAT can help untangle it and get you back to working in small steps.