Self-evolved coding-agent harnesses act as legible compensation layers: they close the gap between what a model can do and what it does, share a portable playbook across languages, and still require native re-evolution for language-specific ecosystem details.
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One Recipe, Many Harnesses: What Self-Evolution Encodes Across Languages and Models
Self-evolved coding-agent harnesses act as legible compensation layers: they close the gap between what a model can do and what it does, share a portable playbook across languages, and still require native re-evolution for language-specific ecosystem details.