Post:
If you’re still shipping load‑bearing code in C, C++, Python, or vanilla JavaScript in 2025, you’re gambling with house money and calling it “experience.”
As systems scale, untyped or foot‑gun‑heavy languages don’t just get harder to work with—they hit a complexity cliff. Every new feature is another chance for a runtime type error or a memory bug to land in prod. Now layer LLM‑generated glue code on top of that. More code, more surface area, less anyone truly understands. In that world, “we’ll catch it in tests” is wishful thinking, not a strategy.
We don’t live in 1998 anymore. We have languages that:
- Make whole classes of bugs unrepresentable (Rust, TypeScript)
- Give you memory safety and concurrency sanity by default (Rust, Go)
- Provide static structure that both humans and LLMs can lean on as guardrails, not red tape
At this point, choosing C/C++ for safety‑critical paths, or dynamic languages for the core of a large system, isn’t just “old school.” It’s negligence with better marketing.
Use Rust, Go, or TypeScript for anything that actually matters. Use Python/JS at the edges, for scripts and prototypes.
For production, load‑bearing paths in 2025 and beyond, anything else is you saying, out loud:
“I’m okay with avoidable runtime failures and undefined behavior in my critical systems.”
Are you?
Comment:
Nonsense. If your code has reached the point of unmaintainable complexity, then blame the author, not the language.
Sorry, I go on tangents and end up just confusing people. It is! That was my point, though failed to deliver it. Gpl3, agpl and apache.
They do have a pricing model for enterprises with some proprietary extra stuff on top (shared billing, SSO, premium support and stuff like that), and a tier for expanded AI stuff (entirely ignorable, and the editor works with pretty much everything, so if you need those things, you can just set up whichever service you want yourself), but those can both be ignored, the main editor is FOSS and committed to remain so.