Every day, I see discussions about how AI assistants and Copilot are changing software development.
And honestly?
I agree.
AI is helping us save time, automate repetitive work, and learn faster than ever before.
But recently, I've noticed something that concerns me.
Some interviewers, managers, and even developers are starting to treat AI-generated answers as the "correct" answers.
That's where I think we're making a mistake.
🤔 Does Copilot Know Your Responsibilities?
We've all seen responses like:
"With 10 years of experience, you should know this."
But who decides that?
Does Copilot know:
- The projects you've worked on?
- The systems you've built?
- The challenges you've solved?
- The responsibilities you've carried for the last 10 years?
The answer is simple:
No.
Two developers can have 10 years of experience and possess completely different skill sets.
One may be an expert in distributed systems.
Another may specialize in frontend architecture.
A third may have spent years building enterprise applications.
Meanwhile, a developer with only 5 years of experience may know a modern technology that none of them have ever needed.
Does that make anyone less capable?
Absolutely not.
It simply means their journeys were different.
🚨 Experience Is Not a Checklist
Let's take a different example.
Suppose someone has spent 10 years mastering Figma and has become an exceptional designer.
Does that automatically mean they should be an expert in Photoshop, Illustrator, CorelDRAW, Sketch, and every other design tool?
Of course not.
Their expertise reflects the work they've done and the problems they've solved.
The same applies to software engineering.
Experience is about depth, not knowing everything.
⚠️ The Risk of Over-Relying on AI
Don't get me wrong.
I use AI.
Most developers I know use AI.
And it saves hours of effort.
But there's a difference between:
✅ Taking help from AI
and
❌ Letting AI think for you
When every answer, every opinion, and every decision comes from AI, something slowly starts to fade:
- Analytical thinking
- Critical reasoning
- Problem-solving skills
- Independent decision-making
The moment we stop questioning AI and start following it blindly, we risk losing the very skills that make us valuable as engineers.
💡 There Is No Single "Correct" Way
One thing I often notice is that AI tends to suggest a particular format, structure, or style of response.
But humans solve problems differently.
A great solution can be communicated through:
- Code
- Diagrams
- Documentation
- Architecture discussions
- Whiteboard sessions
- Simple conversations
The format is not what creates value.
The understanding does.
A solution isn't correct because AI suggested it.
A solution is valuable because it solves the problem.
🎯 Interviews Need Human Judgment, Not AI Expectations
What worries me most is hearing feedback like:
"At your experience level, you should know this."
Based on what?
A developer should be evaluated on:
✅ Problems they've solved
✅ Impact they've created
✅ Ability to learn
✅ Technical reasoning
✅ Communication
Not on whether their answer matches what an AI assistant might generate.
If everyone starts thinking and answering exactly like AI, we risk losing the diversity of thought that drives innovation.
My View
AI is one of the most powerful tools we've ever had.
Use it.
Learn from it.
Let it save your time.
But don't let it define your capability, your experience, or your worth as a professional.
Because at the end of the day:
AI can suggest answers.
Humans are still responsible for understanding them, challenging them, and making the final decision.
🚀 Use AI as an assistant. Don't surrender your thinking to it.
What's your take? Have you ever seen someone being judged more by AI-generated expectations than by their actual experience and problem-solving ability?
SOCIAL SHARE CARD GENERATOR