Naivety is the deliberate suspension of established knowledge and constraints so unconventional ideas can be explored before they are judged. It can be playful spontaneity, ignorance of what supposedly cannot work, or independence from rigid structures of thought. The goal is not to trust every idea, but to postpone rejection until possibilities have been gathered. section 4.6.2 section 2.2.2
Use healthy naivety as a short creative phase:
- Pretend you know nothing about the existing system or its limits. section 4.6.2
- Generate possibilities without immediately declaring them impossible. section 4.6.2
- Try a simple, naive approach before optimizing or adding complexity. section 4.6.5
- Step back afterward and evaluate which ideas survive practical constraints. section 4.6.2 section 2.2.2
A naive algorithm
A recursive Fibonacci function that directly mirrors the mathematical definition is a useful starting point. It is inefficient, but beginning there can preserve creative momentum; memoization or tail recursion can follow once the basic idea is understood. section 4.6.5
Trying what seasoned developers might reject
Rare’s inexperienced GoldenEye team did not know which Nintendo 64 game ideas were impossible, so they attempted features such as split-screen multiplayer. Frame-rate constraints forced compromises, yet the result helped shape the shooter genre. section 4.6.4
func Fibonacci(n int) int {
if n <= 1 return n
return Fibonacci(n - 1) + Fibonacci(n - 2)
}
Inspect the compact recursive Fibonacci listing as an example of starting with a readable naive implementation before considering optimization. section 4.6.5
