Arvid Kahl: AI Code Generation Favors Mature Languages

AI Code Generation Favors Mature Languages, Arvid Kahl Says

# Money IdeasTweets 1Sources 1Aug 3, 2026

Arvid Kahl, a well-known indie hacker and author, weighs in on the direction of AI-assisted programming. He says he does not miss the weekly churn of new JavaScript frameworks and argues that AI code generation exhibits a strong Lindy effect. According to Kahl, AI-assisted development works better when built on mature languages that have stood the test of time, while newly invented languages or frameworks are far less likely to be adopted. The remark suggests that developer tools should prioritize stability and long-term ecosystem support over novelty. It also points to a broader industry trend: as AI becomes more integral to coding, the value of established technologies may increase, and embracing the latest language trend could be less compelling.

Key Takeaways

Developer fatigue with JavaScript framework churn is highlighted by Arvid Kahl.
AI code generation exhibits a strong Lindy effect, favoring mature languages.
New languages and frameworks may face higher adoption hurdles in AI-assisted development.

1. AI Code Generation and the Lindy Effect

Arvid Kahl remarks that he does not miss the days of keeping up with new JavaScript frameworks every week, reflecting widespread fatigue with rapid front-end tooling evolution. — via 1
He argues that AI code generation is strongly subject to the Lindy effect: AI-assisted programming based on mature languages is easier to adopt, while new inventions struggle to gain traction. — via 1
This implies that the utility of AI coding tools depends on the maturity of existing codebases and ecosystem longevity, reducing the incentive to support novel languages. — via 1

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AI Code Generation Favors Mature Languages, Arvid Kahl Says

Key Takeaways

1. AI Code Generation and the Lindy Effect

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