[tigranbs]

TBH, the idea seems way outdated for the current state of software engineering. The Rust compiler provides a massive benefit for AI Coding because it literally catches all the failure cases, so all AI have to do is implement the logical parts, which is usually a no-brainer for something like a Claude Code or Codex.

For example, the https://github.com/SaynaAI/sayna has been mostly Claude Code + me reviewing the stuff + some small manual touches if needed, but for the most part, I have found that Claude Code writes way more stable Rust code than JS.

It would be easier and safer to give the JS code to a translator and have it translate it into Rust, and then continue AI Dev with Rust, than to invest time in an automated compiler from JS to Rust. IMHO!

[pseudony]

I’ve heard it said and I won’t argue your personal experience.

However, I don’t see it that way at all. I find claude much more capable of writing large chunks of python or react/js frontend code than writing F#, a very statically type-checked language. It’s fine, but a lot more hand-holding is needed, a lot more tar pits visited.

If anything, it seems a popularity contest of which language features the most in training data. If AI assistance is the goal, everyone should write Python and Javascript.

[k9294]

I’ve worked with relatively large projects in TypeScript, Python, C#, and Swift, and I’ve come to believe the more opinionated the language and framework, the better. C# .NET, despite being a monster, was a breath of fresh air after TS. Each iteration just worked. Each new feature simply gets implemented.

My experience also points to compiled languages that give immediate feedback on build. It’s nearly impossible to stop any AI agent from using 'as any' or 'as unknown as X'casts in TypeScript - LLMs will “fix” problems by sweeping them under the rug. The larger the codebase, the more review and supervision is required. TS codebase rots much faster then rust/C#/swift etc.

[Yokohiii]

Not everyone is doing the AIch