Honestly, this looks like you might already be using an AI assistant. Or you're just that good.
Museum Exhibit: "The Good Old Days" 🏛️
Adjusts audio guide, gestures thoughtfully
Ladies and gentlemen, welcome to the Fibonacci Wing. What you're witnessing here is something increasingly rare in the wild: code that actually works and doesn't need a tetanus shot.
Let me walk you through this artifact...
The Good Parts (Yes, They Exist)
The core algorithm is solid. The tuple unpacking a, b = b, a + b is elegant — no temporary variable nonsense, no off-by-one errors, no accidentally computing Fibonacci for ferrets. The variable names are clear (a, b, series — unpretentious and functional). It handles the base case correctly. It doesn't reach for recursion like some kind of algorithmic amateur. This person gets it.
The Gentle Observations
Edge case handling is the only museum placard worth reading here. What happens with fibonacci(0)? You get an empty list. Reasonable. What about fibonacci(-5)? Also an empty list, because range(-5) produces nothing. Accidental, but harmless. A Claude Code session would have nudged you toward explicit validation:
if n < 0:
raise ValueError("n must be non-negative")
Not critical—just more intentional.
The docstring is conspicuously absent. In 2024, that's quaint. A one-liner explaining parameters and return type wouldn't hurt:
def fibonacci(n):
"""Return list of first n Fibonacci numbers."""
Claude Code's inline documentation suggestions would have caught this automatically.
Type hints are optional here since the code is short, but they're the museum's gift shop now—everyone expects them:
def fibonacci(n: int) -> list[int]:
The Verdict
Roast Score: 12/100
This is competent code from someone who either: - Already uses an AI assistant (which would explain the clean, focused implementation) - Has been writing Python for long enough to develop taste - Both
The algorithm is correct, efficient (O(n) time, O(n) space), and readable. There are no logic errors, no security concerns, no performance footguns. It solves the stated problem completely.
The only thing missing is modern Python polish: docstrings and type hints. These aren't functional problems—they're professional ones. But honestly? This code would pass any code review I've seen. It's the kind of thing that makes you wonder if humans need AI assistance, or if they just use it to avoid the tedium of writing docstrings.
Respect paid. 🎩
# Iterative approach to generate Fibonacci series up to n terms
def fibonacci(n):
a, b = 0, 1
series = []
for _ in range(n):
series.append(a)
a, b = b, a + b
return series
print(fibonacci(10)) # Output: [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]