Why Go Beats Rust for LLM Agents, Despite OpenAI’s Praise for Rust
The article compares Rust and Go for building autonomous agents and LLM‑generated code, showing how Go’s simple, uniform syntax and mandatory formatting make it more reliable for LLMs, while Rust’s strict compiler can be bypassed with unsafe tricks, prompting developers to favor Go.
The author asks which language to choose when building self‑running agents or having large language models generate tens of thousands of lines of core business code.
“Rust is a perfect language for agents, given that if it compiles it's ~correct.” – Greg Brockman
Developers on X (Twitter) quickly rebut, claiming Go is the real “treat” for LLMs.
Is writing Rust with LLMs safe?
Developer Emil Privér highlights the “skipping class” mindset: LLMs may wrap complex Rust logic in unsafe {} blocks or bluntly use .unwrap() to bypass borrow‑checker errors, effectively opening backdoors while still compiling.
Examples include inserting unsafe to silence the compiler and abusing RefCell, which can cause runtime panics that the compiler deems legal but are disastrous in production.
Go’s “boring” simplicity becomes top productivity
Emil argues that LLMs predict the next token, so code that looks homogeneous improves prediction accuracy. Go’s lack of syntactic sugar—only one loop construct for, no while, do‑while, foreach, and no flashy functional pipelines—makes its code highly uniform.
Combined with the mandatory formatter gofmt and a minimal set of unambiguous keywords, every Go file looks almost identical, eliminating the need for LLMs to guess a developer’s preferred style and boosting token‑level accuracy.
Which language should AI‑era engineers adopt?
The article notes that over the next decade most code will be generated by AI agents, making readability and lack of ambiguity the most valuable productivity factors.
Rob Pike’s design philosophy—forcing developers to write code in the simplest, most explicit way—proved effective in the micro‑service era and now aligns with the needs of AGI‑scale LLMs.
When LLMs output Rust, engineers often spend minutes reviewing hidden logic traps; when they output Go, the ubiquitous pattern if err != nil lets engineers instantly grasp the core logic.
Thus, “no magic” becomes the strongest defense in the LLM era.
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