Vercel CEO Guillermo Rauch says the agent era will give rise to new programming languages
Guillermo Rauch posted on X on November 11, 2026, saying that Rust is an excellent language and ecosystem, especially considering that it was invented before agentic programming emerged. He said that, as agents become more widespread, new languages will emerge, including specialized languages for specific use cases, as well as C, LLVM IR, and even assembly that can be used on demand.
Rauch cited a post by Elon Musk from November 10. In the post, Musk said that Rust is a good language, but that he uses C when pursuing optimal performance on bare metal, and added, capability comes with great responsibility. Rauch summarized that AI is fluid, and there is no longer a one-size-fits-all language.
Rauch is the CEO of Vercel. The post was a personal expression of opinion and did not announce any specific product or company decision.
Original source:
Title: Rust is a superb language and ecosystem, especially given it was invented pre agentic coding.
Publisher: Guillermo Rauch (@rauchg)
Publication date: 2026-11-11
URL: x.com/rauchg/status/2120337388178379178
Source type: original post
Verification status: the full original post content was read in this instance, verification date 2026-11-12, no access restrictions
Supporting content: supports Rauch’s assessment of Rust, his prediction of new languages in the agent era, and his citation of Musk’s view on C for bare-metal performance. It does not prove that any new language has been developed or that Vercel has changed its technology stack.
ABAB AI Insight
The choice of programming languages has long been constrained by human developers’ learning curves, error rates, and iteration speed. Rust provides memory safety at compile time through its ownership system and is widely used in system-level and performance-sensitive scenarios, but its syntax and compiler feedback impose a learning cost on human developers. Rauch noted that the language was designed before the agent era, implying that its characteristics were optimized for humans rather than automated agents.
Agentic programming lowers the marginal cost of writing and iterating on new languages. Strict compiler error messages and type systems can become feedback loops for agents to self-correct, making it possible to design specialized languages for specific workloads, such as high-performance inference, embedded systems, or specific data flows. C and low-level IR are still used in scenarios with hard constraints on latency and memory layout, and Musk’s statement emphasizes the performance-versus-responsibility trade-off brought by manual management.
As a platform for front-end and developer tools, Vercel has previously evaluated migrations to Rust and Go in some projects. Rauch’s public statement shifts language selection from what is most friendly to humans to what is most effective for agents and business outcomes. There is currently no evidence that Vercel or major AI companies have broadly adopted entirely new specialized languages; existing migrations are mostly concentrated in languages with mature toolchains such as Rust and Go.
This discussion is an industry observation, not a specific product announcement. Changes in the language ecosystem depend on compiler feedback quality, training data coverage, and the cost of debugging in production, rather than any single viewpoint. Agents lower the barrier to writing new languages, but they do not automatically solve the validation challenges of long-term maintenance and cross-team collaboration.
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Language features designed for humans are no longer necessarily optimal when coding is agent-led.
The quality of compiler error feedback can become a core constraint for agent self-correction.
An expression of opinion does not mean the company has changed its technology stack or that a new language has been implemented.