Okay, how do we fix this?
First, test your own AI visibility today. Open ChatGPT, Claude, or Perplexity and ask questions where your content should logically appear as a relevant source. Be honest in your queries—use the actual questions your audience would ask rather than phrasing things to favor your content. See whether AI models cite you, and if so, how prominently. This reality check shows you where you stand currently.
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The language is pure, lazy, and has no loops. Every iteration is recursion, and recursion costs stack frames. Since Nix 2.20, the evaluator caps call depth at 10,000 (configurable via max-call-depth, but the default is what you'll hit). Before 2.20, the limit was whatever your OS allocated for the process stack: non-deterministic across machines, occasionally baffling to debug. Tail-call optimization would help. There's even a FIXME comment in ExprApp::eval() acknowledging it. But the evaluator's structure (a local variable that stays live across the recursive eval call) prevents the tail position from being optimized, and nobody has restructured the code. Tvix, the Rust-based evaluator, handles TCO in many cases. The reference C++ evaluator doesn't.
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