---
title: Recreational Programming
link: https://www.cphiri.dev/presentations/recreational-programming
source: hnrss-org
published: 2026-10-13T22:33:33Z
updated: 2026-10-13T22:33:33Z
first_seen: 2026-10-14T07:29:10.775073046Z
authors:
- jslakro
content: extracted
html: 2026-10-13-recreational-programming.html
extra:
  comments_url: https://news.ycombinator.com/item?id=50079865
  num_comments: 62
  points: 152
---

You guys are getting paid?

## Show of hands:

How many of you learned programming because it was fun?

## Part 1

## What is Recreational Programming?

## Definition

Programming for the joy of programming itself - not for work, not for money, not for external requirements.

## What it looks like:

- Building things because you're curious how they work
- Exploring new languages just to see what they feel like
- Solving problems that only exist in your head
- Creating tools for problems you don't actually have
- Writing code that makes you smile

## What it's NOT:

- Side hustles or potential startups
- Skill building for career advancement
- Following tutorials step-by-step
- Grinding through coding challenges for interviews
- Building what others expect you to build

**The key distinction:** Internal motivation vs. external pressure

## Why it matters:

- Prevents burnout by reconnecting with intrinsic motivation
- Develops intuition through low-stakes exploration
- Maintains long-term passion for the craft
- Often leads to unexpected breakthroughs and learning

## Part 2

## The Recreational Programming Spectrum

## Style 1: The Live Explorer

- Builds in public through streams or blogs
- Shows the messy process: dead ends, bugs, restarts
- Community becomes accountability and energy source
- Projects range from practical tools to pure experiments

## Style 2: The Deep Diver

- Obsesses over understanding how things really work
- Builds toy versions of complex systems
- Values learning over shipping
- Often has multiple "educational" implementations

## Style 3: The Creative Technologist

- Uses code as artistic medium
- Generative art, music synthesis, interactive installations
- Technology serves creative vision
- Often blends programming with other disciplines

## Style 4: The Problem Solver

- Scratches personal itches with code
- Tools that solve tiny annoying problems
- "Good enough" solutions that work for them
- Often accidentally builds useful things

## Style 5: The Language Explorer

- Constantly trying new languages and paradigms
- Implements same concepts across different languages
- Drawn to unusual or experimental languages
- Code as intellectual curiosity

## Part 3

## Common Patterns Across All Styles

## Permission to Build "Useless" Things

- No business case required
- Curiosity is sufficient justification
- Failed experiments still teach valuable lessons

**Key insight:** ROI doesn't apply to recreational programming

## Follow Energy, Not Plans

- Switch projects when excitement fades
- Multiple abandoned repos are exploration, not failure
- Boredom is data about what interests you

**Key insight:** Boredom is data, not defeat

## Document the Journey

- Share process, not just results
- Teaching forces deeper understanding
- Creates connection with others on similar paths

**Key insight:** Narrate your decisions

## Embrace the Learning Process

- Beginner's mind in new domains
- Comfortable with not knowing
- Process over product

**Key insight:** Progress over perfection

## Part 4

## Your Personal Programming Playground

## The Environment

- Dedicated "experiments" folder/repo
- No production concerns: minimal setup, no CI/CD pressure
- Quick project initialization scripts
- Version control optional

## Approaches You Can Try

- Weekly Experiments (2-4 hours exploring one new thing)
- Scratch-Built Challenges (Build toy versions of tools you use)
- Itch-Scratching Projects (Solve your own annoying problems)
- Teaching Projects (Build something while explaining it)
- Cross-Language Challenges (Same problem, different languages)

## The Mindset Shifts

- "What if..." instead of "I should..."
- Progress over perfection
- Learning over shipping
- Curiosity over productivity

## Part 5

## Real Examples in the Wild

## Zikani Nyirenda - *The Practical Experimenter*

- Creates random but useful tools: browser automation, file organizers, Git utilities
- Experiments across Go, Rust, Python, Vue, and React
- "What small problem can I solve today?" approach to coding
- Perfect example of scratching personal itches through code

[github.com/zikani03](https://github.com/zikani03)

## Jeremiah Chienda - *The Full-Stack Experimenter*

- Explores different architectural patterns and frameworks
- Builds tools that solve real problems while learning new technologies
- Shows how recreational programming can span the entire tech stack

[github.com/liwoo](https://github.com/liwoo)

## Tsoding Daily - *The Live Explorer*

- Streams 4+ hours daily building random projects from scratch
- Built his own text editors, programming languages, ray tracers
- Shows complete process including failures and debugging
- "Let's see what happens if..." approach to everything

## ThePrimeagen - *The High-Energy Problem Solver*

- Creates CLI tools and Neovim plugins for personal workflow optimization
- Infectious enthusiasm for dev tools and performance
- Reacts to and critiques other developers' code/approaches
- Makes optimization and tooling feel like extreme sports

## Casey Muratori - *The Systems Deep Diver*

- Handmade Hero: Building a complete game from scratch on stream
- Explains every single line of code and system design decision
- No libraries, understanding everything from first principles
- Demonstrates that you can build modern software without frameworks

## Ben Eater - *The Educational Builder*

- Builds computers on breadboards, explains every component
- Creates video series on how CPUs, memory, and networks actually work
- Takes months to build what you could buy for $5
- Makes hardware fundamentals accessible and fascinating

## Dan Luu - *The Deep Technical Investigator*

- Writes detailed blog posts investigating performance mysteries
- Benchmarks everything: keyboards, terminals, programming languages
- Turns curiosity about "why is X slow?" into multi-thousand word research
- Demonstrates how recreational investigation can uncover industry-wide issues

**Each represents a different path back to programming joy**

## Closing Challenge

Pick one experiment:

1. Build the worst possible version of a tool you use daily
2. Spend 2 hours with a language you've been curious about
3. Document yourself solving a small problem
4. Fork an interesting project and mess with it
5. Try live coding or streaming your process

**The only rule:** Stop if it stops being fun.

## Final Thought

"The goal isn't to become any of these programmers. It's to remember why you started coding and keep that curiosity alive alongside your career."