TL;DR
Bun’s migration from Zig to Rust demonstrates a broader infrastructure trend: as software moves from experimentation into production, compiler-enforced correctness becomes more valuable than conventions that depend on developers always being careful.
The same transition may now be happening in AI infrastructure.
Python remains excellent for research, training and rapid prototyping. However, production AI systems also need lifecycle management, API contracts, observability, dependency injection, database integration, deployment tooling, concurrency and predictable resource usage.
The article argues that C# is unusually well positioned for this layer.
