GPT · Claude Code · Gemini · Codex · Open Source · Anthropic · medium.com
If AI writes your code, why use Python?
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
◌ Single Source
“The best argument for Rust in 2026 is not memory safety or performance.
Key facts
- By April of 2026, Claude Opus 4.7, GPT-5.5, Gemini 3.1, and DeepSeek V4 had all cleared 80% on SWE-bench Verified within weeks of each other
- Ten weeks earlier, Anthropic acquired Bun (7M monthly downloads, 89K GitHub stars) and framed it as “essential infrastructure for AI-led software engineering
- Total cost: under $20,000 across nearly 2,000 Claude Code sessions
- The JetBrains 2025 Python survey caught the telemetry: Rust usage for Python binary extensions jumped from 27% to 33% in one year
Summary
Picking a language for a new project was usually an easy answer. That bargain is over, and it’s over because AI got good at the hard languages. Two years ago, GPT-4 couldn’t write a Rust function without hallucinating crate names. Rust was accidentally designed for AI-assisted development 10 years before anyone knew that mattered.” via X.com. The same logic applies, to varying degrees, to Go and Swift.