Recreational Programming: Rediscovering the Joy of Coding for Its Own Sake

What Is Recreational Programming?

Christopher Phiri defines recreational programming as programming for the joy of programming itself, not for work, money, or external requirements. It means building things out of curiosity, exploring new languages to see what they feel like, solving problems that only exist in your head, and writing code that makes you smile.

The article stresses what it is not: side hustles, career skill building, step-by-step tutorials, interview challenge grinding, or building what others expect. The key distinction is internal motivation versus external pressure. Phiri argues it prevents burnout by reconnecting with intrinsic motivation, develops intuition through low-stakes exploration, maintains long-term passion, and often leads to unexpected breakthroughs.

Five Styles on the Spectrum

The Live Explorer builds in public through streams or blogs, showing the messy process of dead ends, bugs, and restarts, with the community as an energy source. The Deep Diver obsesses over how things really work, builds toy versions of complex systems, and values learning over shipping. The Creative Technologist uses code as an artistic medium, from generative art to music synthesis and interactive installations.

The Problem Solver scratches personal itches with code, building "good enough" solutions for tiny annoying problems. The Language Explorer constantly tries new languages and paradigms, implementing the same concepts across different languages and gravitating toward unusual or experimental ones.

Common Patterns and a Personal Playground

Across all styles, Phiri identifies common patterns: permission to build "useless" things where curiosity is sufficient justification and ROI does not apply; following energy rather than plans, treating abandoned repos as exploration and boredom as data; documenting the journey by narrating decisions; and embracing the learning process with a beginner's mind, favoring progress over perfection.

For getting started, the article suggests a dedicated experiments folder with no production concerns and optional version control. Approaches include weekly experiments of two to four hours, scratch-built challenges, itch-scratching projects, teaching projects, and cross-language challenges. The mindset shifts from "I should" to "What if," and from productivity to curiosity.

Real Examples in the Wild

Zikani Nyirenda creates random but useful tools such as browser automation, file organizers, and Git utilities across Go, Rust, Python, Vue, and React. Jeremiah Chienda explores architectural patterns and frameworks while building tools that solve real problems. Tsoding Daily streams more than four hours daily, building text editors, programming languages, and ray tracers from scratch.

ThePrimeagen creates CLI tools and Neovim plugins for personal workflow optimization. Casey Muratori builds a complete game from scratch on stream in Handmade Hero, explaining every line of code without libraries. Ben Eater builds computers on breadboards and explains how CPUs, memory, and networks work. Dan Luu writes detailed blog posts investigating performance mysteries, benchmarking keyboards, terminals, and programming languages.

The closing challenge invites readers to pick one experiment, such as building the worst possible version of a daily tool, spending two hours with a new language, documenting a small problem, forking an interesting project, or trying live coding. The only rule: stop if it stops being fun.

Sources: cphiri.dev