If AI writes the code, why use Python
Key point
As AI coding tools advance, the barrier to developing in high-performance languages like Rust and Go is lowering, changing the software development paradigm.
Details
As AI coding tools advance and lower the barrier to developing in high-performance languages like Rust and Go, the decade-old practice of "choosing Python or TypeScript for fast shipping" is changing.
The combination of AI and systems programming languages AI models leverage the compiler's feedback loop to fix errors in real time in strict languages like Rust, speeding up development. This suggests that AI can effectively handle the complex rules of systems programming.
Key technical examples
- Microsoft: Rewrote TypeScript 7.0 beta in Go, improving performance by roughly 10x.
- Anthropic researcher: Used 16 Claude agents to build a 100,000-line Rust-based C compiler.
- Steve Klabnik: Used Claude to develop a new systems language, Rue, in just 2 weeks.
- Ladybird browser: Ported its C++-written JavaScript engine to Rust in 2 weeks.
As AI lowers the ecosystem entry barrier for languages, developers are moving toward choosing more difficult languages for performance and stability.
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