Python vs Go vs Rust for production agentic systems: a six-dimension practical evaluation
mostly_deterministic · reddit · 2026-10-11
A experienced Python developer evaluates whether switching languages makes sense for production agentic systems (MCP servers, orchestration, durable workflows), scoring Python, Go, and Rust across six dimensions:
- Build & deploy: Go and Rust win (single binary); Rust compile times grow on large projects
- Ecosystem maturity: Python dominates — FastAPI, FastMCP, LangGraph are battle-tested, plus deep ML/scientific roots
- Developer cost: Python lowest, Go a reasonable middle ground, Rust steepest
- Runtime cost: Rust best for latency/memory, Go runner-up — but agentic systems are mostly I/O bound, so real-world gains are questionable
- Language safety: Rust's ownership model leads; Go has static typing + GC memory safety; Python weakest
- Operational complexity: author solicits war stories, especially from cross-language production migrations
The open tension: for I/O-bound agents, Rust's runtime edge may not justify its development cost.
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