Code can follow two philosophies:

Tell the computer how to do things step by step (OOP)…

or tell it what you want and let pure functions rule (FP).

Functional Programming flips the traditional mindset:

• No shared state

• No mutation

• No hidden surprises, no sneaky side effects

• Output = purely the input you give

• Logic = broken into small reusable “math-like” functions

• Recursion replaces loops, expressions replace instructions

When every function behaves like a perfect citizen,

testability skyrockets.

Bugs lose their favorite hiding spots.

In this episode, we dive into:

• Pure vs. Impure functions

• Immutability and referential transparency

• Higher-order functions, closures & function composition

• Why concurrency loves FP

• The practical tension between FP and OOP

• Real examples to shift your thinking instantly

It’s programming, but… philosophical.

You stop wrestling with the machine and start working with ideas.

🎯 If clean logic and quality products excite you:

My book shares the same obsession:

📚 Kill All Bugs: Learn Software Testing in 1 Day

🔗 https://testingin1day.com

Make software that behaves.

Not software you have to babysit.