What programming languages would agents want to program in?

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Armin Ronacher

AI agents are changing how we think about programming language design. As coding costs drop and agents write more code, languages optimized for agent workflows may emerge. Key design considerations include explicit typing over inference, avoiding whitespace-based syntax, supporting effect markers for implicit context, preferring typed results over exceptions, ensuring greppability with explicit imports, minimizing macros, and providing deterministic testing. Languages that prioritize local reasoning, clear tooling, and mechanical error fixing will help agents succeed, potentially leading to new languages designed from first principles around agent capabilities.

A Language For Agents