Dependency is different from addiction.
You can depend heavily on a tool without being unable to control your behavior.
For example, modern developers depend on Git, package managers, IDEs, search engines and cloud services. Remove any of them and development becomes more difficult.
AI coding tools are increasingly becoming another layer of that infrastructure.
The question is:
How much of your own problem-solving process have you handed over to AI?
This vibe coding dependency test focuses on exactly that.
Part One: The Replacement Test
Imagine that your AI coding assistant disappears for one week.
No code generation.
No AI debugging.
No AI architecture advice.
Could you still:
- write a new function?
- understand an error message?
- read documentation?
- design a database table?
- decide how to structure a feature?
- refactor existing code?
- investigate a bug?
Give yourself:
2 points — Yes, confidently 1 point — Yes, but I'd struggle 0 points — Probably not
Add the results.
12–14: Strong Independence
AI is probably accelerating your existing skills rather than replacing them.
7–11: Moderate Independence
You can work independently, but AI has become an important part of your workflow.
0–6: Significant Dependency
You may have outsourced several core development skills to AI.
That doesn't mean you've lost them permanently.
It means they're worth practicing again.
Part Two: Where Is Your Dependency?
Your total score is useful, but the individual answers are even more interesting.
Coding Dependency
Do you rely on AI to write even simple functions?
If yes, manually writing small pieces of code can help restore fluency.
Debugging Dependency
Can you diagnose a problem before asking AI?
Debugging is particularly important because it teaches you how software actually behaves.
Decision Dependency
Do you ask AI which framework, database, library or architecture to use before forming your own opinion?
AI can provide useful comparisons, but technical decisions shouldn't become automatic recommendations you accept without evaluation.
Learning Dependency
Do you still read documentation?
If every unfamiliar concept goes directly into a chatbot, you may gradually lose the ability to navigate technical documentation efficiently.
The "Explain Your Code" Test
Open one of your recent AI-assisted projects.
Pick a random important file.
Now try to explain:
- what it does;
- why it exists;
- where its data comes from;
- what calls it;
- what happens when something fails.
If you can explain it, you're probably still maintaining ownership.
If you repeatedly find yourself thinking "I have no idea; AI wrote this", you've found an area where dependency may be high.
Dependency Isn't Necessarily a Problem
There is an important distinction here.
A professional developer can be extremely dependent on AI for speed while remaining independent in judgment.
That's a healthy form of specialization.
The problem occurs when AI becomes the only way you can perform a task.
Think of it this way:
Healthy dependence: "I could do this myself, but AI saves me an hour."
Problematic dependence: "I have no idea how to do this without AI."
Those statements may sound similar, but they're fundamentally different.
How to Reverse Excessive Dependency
Don't remove AI completely.
Instead, reclaim one skill at a time.
Week 1: Manual debugging
Handle simple errors yourself before asking AI.
Week 2: Manual implementation
Write small functions without generation.
Week 3: Documentation first
Read official documentation before asking AI about unfamiliar APIs.
Week 4: Architecture first
Design your solution before asking AI to implement it.
After that, AI can return to its normal role.
The Real Goal
You don't need to prove that you can live without AI forever.
You need to know that you could if you had to.
That's the difference between using a tool and being unable to function without it.