LLM‑driven coding agents can read a language spec, form hypotheses, run tests, inspect failures, and produce working software even in invented or ecosystem‑free languages (e.g., TeX macros, Brainfuck, a March‑2026 'MNM' candy‑grid language). These are not parroting training data but performing model‑based scientific inference inside novel computational environments.
— If agents can adapt to entirely new computational ecosystems without human scaffolding, that accelerates automation, raises new IP/safety questions, and changes who controls digital production and expertise.
Alexander Kruel
2026.03.24
100% relevant
Mathieu Acher’s experiments (Claude Code and Codex CLI building chess engines in LaTeX, Brainfuck, Rocq and an M&M 'MNM Lang', including a Brainfuck interpreter written in MNM) provide direct evidence.
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