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What I did at Recurse Center

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A programmer shares a personal recap of their summer at the Recurse Center, highlighting study groups, DEFLATE implementation in Rust, and AI-assisted prototype projects.

summary is enough It offers a broad, light overview of various side projects and study groups rather than deep technical breakdowns.

summary

The author recounts a summer batch at the Recurse Center in Brooklyn, detailing participation in math, machine learning, and agentic coding study groups. They describe hands-on projects including building a DEFLATE decompressor in Rust, exploring board game AI weights, and experimenting with LLM-generated code for games and a constructed language. The piece illustrates how programmers use unstructured sabbaticals to explore eclectic technical curiosities and peer programming.

key points

  1. Participants at the Recurse Center engage in self-directed study groups covering topics like deep learning, math puzzles, and agentic workflows.
  2. The author implemented a DEFLATE decompressor in Rust from scratch to learn the language and master bit-packing mechanics.
  3. Several projects leveraged LLMs for vibecoding prototypes, including browser games with agentic opponents and a constructed language grammar generator.

who should read it

Software engineers and developers curious about alternative learning sabbaticals or community-driven programming retreats.

discussion positive

consensus

Commenters are split between romanticizing the pure exploration of programming retreats like the Recurse Center and dismissing them as expensive adult daycares lacking concrete business or research output.

pushback

Some critics argue that the lack of stipends makes it inaccessible to anyone outside wealthy tech circles and point out its underlying role as a corporate recruiting pipeline.

best comment by rtpg ↗

> This included what was probably the most interesting part, writing the tricky recursive code to implement the match statement.

Back in school I found this book[0], "The Implementation of Functional Programming Languages". Flipping through it was very neat because it kinda demystified the nuts and bolts of implementing the "fancier" functional programming features for me.

Chapter 5 is about implementing pattern matching.

You read this kind of stuff and realize how easy things become when you just tackle a problem with the right mindset and abstractions. And this is a book from 1987! We've …

It connects the author's mention of implementing match statements to classic functional programming implementation literature from 1987.

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