A SIMPLE TRICK to increase your LLM Coding Accuracy in Cursor DRASTICALLY! The FUNCY Appraoch!

How To
1

I’ve been experimenting with a new approach I call it the FUNCY APPROACH!
It has increased my productivity immensely when working with LLMs in Cursor! The idea is super simple and makes a lot of sense:
(Off course first of all always prime your cursor session with some form of RIPER mode to increase over all performance)

Now The Core Idea: Turn EVERYTHING into a FUNCTION! (or keep it somewhat funcy)

This is ‘INSPIRED’ by FUNCTIONAL PROGRAMMING, which emphasizes PURE FUNCTIONS that:

  • Do ONE THING only
  • Have CLEAR INPUTS and OUTPUTS
  • Have no side effects

Why This SPECIFICALLY Works With LLMs: The Context Problem

Here’s the critical insight: LLMs have a MAJOR weakness with context memory. When code is all interconnected and globally scoped, the LLM has to juggle ALL of it at once. This drastically increases the chance of it messing up something unexpectedly or forgetting a critical detail.

By breaking everything into small, self-contained functions:

  1. The LLM can focus on ONE piece of logic at a time
  2. Each function is INDEPENDENT - breaking one doesn’t break others
  3. The LLM doesn’t need to remember the entire codebase context

Simple Example

Instead of global/open code like this:

python

users = [{"name": "alex", "points": 120}, {"name": "sam", "points": 85}]

# Open code with multiple operations mixed together
for user in users:
    user['name'] = user['name'].upper()
    if user['points'] > 100:
        user['status'] = 'premium'

Do this instead:

python

users = [{"name": "alex", "points": 120}, {"name": "sam", "points": 85}]

def capitalize_name(user):
    return {**user, "name": user["name"].upper()}

def assign_status(user):
    status = "premium" if user["points"] > 100 else "regular"
    return {**user, "status": status}

# Clean separate steps
step1 = [capitalize_name(user) for user in users]
step2 = [assign_status(user) for user in step1]

BOOM now something not capitalizing right?! EASY - you and your LLM Friend can INSTANTLY and HAPPILY FLY right to that FUNCTION! No question asked - no breaking something you forgot on the side (or llm forgot) - Just CLEAR

Your llm robot buddy just will like you more when you give him code that he knows how to work with really well!

This approach was a HUGE BREAKTHROUGH for my productivity. It took some getting used to, but the payoff has been enormous.

WARNING: This is MUCH easier if you start a NEW project with this paradigm in mind versus trying to REFACTOR a huge existing code.

This is JUST INSPIRED by functional programming (not the actual full paradigm), where we are basically just trying to take the concept of KEEP EVERYTHING ENCAPSULATED as much as possible, very clear INPUT and OUTPUT, so all of its dependencies are RIGHT THERE NEXT TO IT - LLM’s due to their limited nature, just work much better with this approach.

Let me know what you think, or if any experience with adopting similar function-first approaches?

4

Anything to copy for testing?

5

you may want to konw SOLID and DRY principle ?
you can see there : Cursor tutorial for NoCoders