Not every problem with AI-assisted development is about addiction or dependency.
Sometimes the issue is much simpler:
Your habits have changed.
You may now reach for AI before documentation.
You may generate code instead of experimenting.
You may ask for a complete solution when a hint would be enough.
None of these behaviors makes you a bad developer.
But habits compound.
That's why this AI coding habit test focuses on your everyday workflow rather than trying to label you.
Your AI Coding Habits
For each question, choose the answer that describes you best.
1. You encounter a bug. What do you do first?
A. Investigate it yourself.
B. Spend a few minutes investigating, then ask AI.
C. Immediately paste the error into AI.
2. You need a new function.
A. Write it yourself.
B. Sketch the solution, then ask AI to improve it.
C. Ask AI to write the entire thing.
3. AI generates 150 lines of code.
A. Review it carefully.
B. Scan the important sections.
C. Run it and move on if it works.
4. You don't understand an API.
A. Read the documentation.
B. Read the documentation and ask AI for clarification.
C. Ask AI what the API does without opening the documentation.
5. AI gives you a solution that works but looks strange.
A. Investigate why.
B. Ask AI to explain it.
C. Keep it because it works.
6. You're starting a new project.
A. Design the architecture first.
B. Discuss the architecture with AI.
C. Ask AI to build the project and figure things out later.
7. You're learning a new programming concept.
A. Practice it manually.
B. Learn it with AI assistance.
C. Ask AI to implement it for you.
8. Your AI assistant is unavailable.
A. No major problem.
B. Annoying, but manageable.
C. I don't really know how to continue.
Your Habit Profile
Mostly A: Builder
You tend to keep direct control over your development process.
AI is probably an accelerator rather than a replacement for your skills.
Mostly B: Collaborator
This is often the most balanced approach.
You use AI actively, but you remain involved in planning, learning and evaluation.
Mostly C: Delegator
You get maximum leverage from AI, but there's a trade-off.
If you rarely perform tasks yourself, some skills may become rusty.
That doesn't mean you should stop using AI.
It means you should occasionally switch back to manual work.
The Most Important Habit: Verification
One of the easiest habits to lose is verification.
AI produces something that looks plausible.
You run it.
It works.
You move on.
But "works on my machine" isn't the same as "correct."
Generated code still needs testing, review and judgment.
This becomes particularly important when the code handles:
- authentication;
- payments;
- personal data;
- database operations;
- permissions;
- security;
- production infrastructure.
A Better AI Coding Workflow
Try this five-step process.
Step 1 — Define
Understand the problem before opening the AI assistant.
Step 2 — Think
Create your own rough approach.
Step 3 — Generate
Use AI to accelerate implementation.
Step 4 — Verify
Test and review the result.
Step 5 — Learn
Make sure you understand anything important that AI introduced.
This approach keeps the speed of AI while preserving your involvement.
Don't Optimize Everything for Speed
There's a strange paradox with AI coding.
The tool can make you faster at producing code while making you slower at learning how software works.
Sometimes the best thing you can do is deliberately take longer.
Write the function yourself.
Read the documentation.
Trace the bug.
Try to understand the architecture.
Not because AI is bad.
Because struggle is part of learning.
Your Result
If your habits lean toward A and B, you probably have a reasonably balanced workflow.
If most of your answers are C, don't panic.
You've simply identified a habit pattern.
Pick one area—debugging, documentation, manual coding or code review—and start doing that part without AI more often.
The objective isn't less AI.
It's better AI use.