With a sigh, I acknowledge that agentive coding is here to stay, though I still think it’s a bit overrated. Elon Musk, however, is more bullish. He believes that with LLMs, compilers will become obsolete, saying things like:
Things will move, maybe even by the end of this year, to where you don’t even bother doing coding. The AI just creates the binary directly.
And like:
Code itself will go away in favor of just making the binary directly.

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Elon Musk's claim that LLMs will make compilers and programming languages obsolete is challenged with a counter-argument: programming languages will become more important, not less, in the LLM era. LLMs struggle with low-level machine code for the same reasons humans do, and benefit even more from structured, type-safe languages like Rust that provide rigorous feedback loops. The 'if it compiles, it works' philosophy of Rust makes it particularly well-suited for agentic coding workflows, as compiler errors give LLMs immediate, actionable feedback. The conclusion is that we need more Rust-like rigor across more programming domains, and better tooling integration (e.g., LSPs) to leverage that rigor in multi-agent systems.

Programming Languages and Type Safety in the Era of LLMs

Why LLMs Won’t Directly Output Machine Code #

What do LLMs need from a programming language? #