ARTICLE

Programming Languages for AI

Created 2 May 2025
softwarelanguagespythontypescriptrustdevelopment

Programming Languages for AI

Three languages matter for AI development right now. One dominates. The others fill crucial gaps.

The Landscape

LanguageRole in AILearn if…
PythonEverything. Training, inference, research, tools, glue.You’re doing anything with AI. Period.
TypeScriptAI-powered applications, web UIs, API layers.You’re building AI products (not models).
RustPerformance-critical infra: inference servers, tokenisers, WASM.You need speed or are building AI tooling.

Honourable Mentions

  • C/C++ — CUDA kernels, PyTorch internals, GGML. You won’t write these unless you’re deep in the weeds.
  • Julia — Scientific computing. Strong in certain academic niches. Small ecosystem.
  • Go — Some infrastructure tooling (Ollama is written in Go). Not for AI itself.

Why Python Dominates

It’s not because Python is the best language. It’s because:

  1. Ecosystem lock-in — PyTorch, TensorFlow, Hugging Face, LangChain, scikit-learn, numpy, pandas — all Python.
  2. Speed doesn’t matter (where you think it does) — The heavy compute happens in C++/CUDA under the hood. Python is just the orchestration layer.
  3. Researcher preference — The people inventing AI use Python. So the tools they build are in Python. Self-reinforcing cycle.
  4. Low barrier — Easy to learn, fast to prototype, readable.

When Python Isn’t Enough

  • Inference at scale — Python’s GIL and overhead matter. Rust/C++ for serving.
  • Browser-side AI — Need JavaScript/TypeScript + WASM.
  • Real-time systems — Latency-sensitive applications need compiled languages.
  • Edge/embedded — Memory-constrained environments. Rust or C++.

The TypeScript Angle

TypeScript is increasingly important because AI is becoming a product feature, not just a research tool. If you’re building:

  • A web app with AI features (chat, search, generation)
  • An API that wraps AI capabilities
  • A full-stack application with AI-native UX

You’re probably using TypeScript (or JavaScript). The Vercel AI SDK, Svelte, Next.js, and the entire web application layer speak TypeScript. And increasingly, AI libraries (LangChain.js, AI SDK) have first-class TypeScript support.

What to Learn First

If you’re new to programming: Python. No contest.

If you already know TypeScript/JavaScript: You can start building AI applications immediately (Vercel AI SDK, LangChain.js). Learn Python when you need deeper ML work.

If you’re a systems programmer: Keep your Rust/C++. Add Python for the AI ecosystem. Your systems skills are extremely valuable for inference infrastructure.

Go Deeper

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