AI-Powered Shift: Why Compiled Languages Like Go and Rust Are the Future of Cost-Effective, High-Performance Coding

I can’t be the only one having these thoughts.

Companies will be using more and more compiled languages (Go, Rust) for better performance and lower infrastructure costs, thanks to AI lowering barriers to entry.

It was hard(er) to explore due to the lack of ecosystems and frameworks like those in interpreted languages (e.g., Laravel for PHP). Because solving a problem that is already solved on Laravel felt tedious and counter intuitive.

But now - I don’t see any reason not to give second look with the help of AI coding assistant.

• It is easier to pick up now with AI (not vibe) code it.
• Reason about compiler errors.
• Figure out best practices of the language stack.
• Ask AI to implement same functionality you're missing.
• Other advantages include better cross-platform compatibility, static analysis.

If the app is written interpreted language and results can’t be easiliy cached. Maybe the performance language may be the answer.

Consider a backend API written in Go versus PHP. The differences in performance are significant:

• Up to 4x faster response times
• Lower memory and CPU consumption or in other words -  reduced cloud costs
• Significantly faster cold starts in serverless environments
• Simplier deploy because of single binary. Unlike PHPs runtime management
• Background processing without blocking the thread and less infrastructure provisioning.
• The list goes on...

Giving a go (pun intended) for a performance-oriented language like Rust or GoLang makes sense when the app is compute heavy or involves data processing.