AI is no magic bullet.
It is a tool to help you —
but you still need to know
what you are doing.
70% — System design & architecture
Decisions, trade-offs, structure
20% — Code review & QA
Verify, test, harden
10% — Manual implementation
Edge cases, debugging
From writing code to owning the design.
Traditional:
def factorial(n):
if n == 0:
return 1
return n * factorial(n-1)
You write every step manually.
AI-Assisted:
Prompt:
"Write a function to calculate
the factorial of a number"
You describe the goal.
Generating AI slop
“AI can accelerate your learning curve — or destroy it.”
If you feel like a fraud because you genuinely don’t understand the code you’re submitting, that’s not imposter syndrome. That’s a sign to slow down and learn the fundamentals.