Spinel in Practice: What Works and What Breaks

Spinel in Practice: What Works and What Breaks
Spinel in Practice: What Works and What Breaks

April 27, 2026

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This post connects a Japanese presentation experimenting with Spinel, introduced at RubyKaigi 2026, with real execution tests.

The goal is simple: what actually works today?


The idea

Spinel compiles:

Ruby → C → native binary

This removes the Ruby runtime, but also limits what Ruby features can be supported.


Testing under pressure

I used problems from AtCoder, where:

  • input/output must be exact
  • execution must be deterministic
  • crashes are immediate failures

What breaks first

A, B, C = gets.chomp.split(' ').map(&:to_i)
  • ❌ compilation error (constants)

a, b, c = gets.chomp.split(' ').map(&:to_i)
  • ❌ compiles
  • ❌ runtime crash (segfault)

Cause: chained input parsing


What works

arr = gets.split(' ')
a = arr[0].to_i
b = arr[1].to_i
c = arr[2].to_i
cap = a - b
trans = [cap, c].min
puts c - trans
  • ✅ compiles
  • ✅ runs correctly

Key insight

Spinel currently supports:

Ruby written in a very explicit, step-by-step style

Idiomatic Ruby tends to break.


Can you use it in contests?

On platforms like AtCoder:

  • possible via binary embedding (base64)
  • not reliable
  • not aligned with the submission model

👉 not viable for serious use


Why it matters

Spinel is not about competitive programming.

It is exploring a different question:

what Ruby looks like as a compiled language

That direction could enable:

  • standalone binaries
  • faster startup
  • new deployment models

Final take

Spinel works today, but only within a narrow subset of Ruby.

Understanding that boundary is the interesting part.


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