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Evolving programming languages in the AI era

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José Valim explores how programming languages and their communities may evolve as AI agents increasingly write code. He argues that while agents might reduce the cost of building ecosystems, they could simultaneously weaken the collaborative incentives that traditionally drive them. Additionally, he suggests that syntactic ergonomics become less critical for agents, who view code primarily as tokens rather than human-readable structures.

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Original publisherDashbit
Canonical URLhttps://dashbit.co/blog/evolving-ai-era
Publication timeThu, 24 Sep 2026 10:52:53 +0000
Retrieval time2026-09-24T10:55:26.007Z
Last seen2026-09-24T10:55:26.007Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Evolving programming languages in the AI era José Valim September 24th, 2026 AI , runtime , guarantees This post is a collection of short ramblings on how programming languages may evolve in the AI era. It is split into two parts: Reflections and Agentic tooling. The first raises questions about what happens to programming languages, their ecosystems, and their communities when humans are no longer writing most of the code. The second is more concrete and opinionated: how our tools should improve now that coding agents have become users of our languages. My opinions on these topics will probably change, but this is a reasonable digest of what’s been on my mind lately. Reflections This section explores how programming languages and their communities change if agents write most of our code.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Dashbit.

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