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Why High-Level Rust Wins Over Other High-Level Languages for Agentic Engineering
- Expressive types + compiler hints
- Mainstream lang w long-term support
- AI is proficient
- Great performance story
hamy.xyz/blog/2026-04_w…
Hamilton Greene 🐷🦀
@SIRHAMY
Technomancer building Simple Scalable Systems | Prev: Eng @ Instagram
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- Systems vs Programming. I increasingly think about systems and less about programming.Replying to @vboykis(I might regret this too!) But, roughly: - Programming: operating on the syntactic level, dealing with files and modules and compiler errors and APIs; worried about lines; it's about the here & now - Building systems: more concerned about time, how a program evolves, how data
- You don't need less process with AI coding. You need more. At AI speed, you're generating bugs 10x faster. Types, linters, tests, specs, CI/CD - each guardrail lets AI self-correct without blocking on you.
- AI creates 100% of my code now. I haven't written or edited a line of code in months. The closest I get is writing my blog posts which I happen to do in the same editor (nvim btw).
- For one-shot prompts Ruby, Python, and Go are 1.5x faster and cheaper than Rust. But real agentic work is iterative. That's where Rust's compiler loop (expressive types, ownership) shines. These guardrails scale correctness to large codebases, orgs, and teams of agents.
