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Building a Rust-Like Runtime for JavaScript in React

↗ Quelle (dev.to)
🗣️ Stimme:

*JavaScript is flexible. Sometimes *too flexible.

**

A string becomes a number.

undefined appears from nowhere.

Async code silently fails.

One mutated object breaks an entire component tree.



After fighting those problems for years, I started experimenting with something different:





A runtime layer for JavaScript that brings stricter memory handling, typed structures, controlled loops, and safer async execution — while still working inside React.



I call the idea StrictJS Runtime.







Why I Started Building It



Modern frontend apps are becoming extremely complex:




  • Realtime dashboards

  • ML in the browser

  • Heavy state synchronization

  • WebAssembly integrations

  • Streaming APIs

  • Massive React trees



But JavaScript still allows things like:




CODE
const user = {};
user.profile.name.first.last = "Ken";






…and we only discover the mistake at runtime.



I wanted something closer to systems programming ideas:




  • predictable structures

  • explicit memory ownership

  • strict schemas

  • controlled execution

  • safer async behavior



Without abandoning JavaScript completely.









The Core Idea



Instead of replacing JavaScript, the runtime wraps dangerous behavior.



Example:




CODE
import strictInit from "strictjs-runtime";

const {
StrictObject,
StrictString,
StrictNumber,
Schema
} = await strictInit({});






Now objects become schema-driven:




CODE
const UserSchema = new Schema({
username: StrictString,
age: StrictNumber
});

const user = new StrictObject(UserSchema, {
username: "alex",
age: 22
});






Invalid data throws immediately:




CODE
user.age = "twenty two";
// Error












Safer Async Functions



One thing I hate in frontend apps:




CODE
fetch("/api")
.then(r => r.json())
.then(data => ...)






Errors disappear everywhere.



So I experimented with a StrictFunction wrapper:




CODE
const fetchUser = new StrictFunction(async () => {
const res = await fetch("/api/user");
return await res.json();
});






The runtime can then:




  • track execution

  • monitor memory usage

  • enforce return structures

  • detect invalid async flows









Controlled Loops



Another experiment:




CODE
new StrictForLoop({
start: 0,
end: 1000,
callback(i) {
console.log(i);
}
});






Why?



Because large uncontrolled loops can freeze React rendering.



A runtime-managed loop can eventually support:




  • chunked execution

  • cancellation

  • cooperative scheduling

  • React-aware yielding









React Integration



React is where this becomes interesting.



Imagine state that cannot accidentally mutate:




CODE
const [user, setUser] = useState(
new StrictObject(UserSchema, {
username: "ken",
age: 20
})
);






Or runtime-validated hooks:




CODE
const useStrictState = (schema, initial) => {
const [state, setState] = useState(
new StrictObject(schema, initial)
);

return [state, setState];
};






Now your React state becomes structurally protected at runtime.









WebAssembly + Rust Direction



The long-term vision is pushing critical parts into Rust/WASM:




  • memory management

  • validation engine

  • async scheduler

  • reactive graph execution



JavaScript becomes the interface layer.



Rust becomes the execution core.



This hybrid model could make frontend apps significantly more predictable under heavy workloads.









Is It Faster?



Not always.



Strict systems add overhead.



But the goal is not just raw speed.



The goal is:




  • reliability

  • predictability

  • developer control

  • safer large-scale frontend systems



In some workloads — especially structured data processing — the tradeoff becomes worth it.









Example: Strict Fetch






CODE
const { strict_fetch } = await strictInit({});

const data = await strict_fetch("/api/users")
.json();






Potential future features:




  • typed responses

  • response validation

  • automatic retries

  • streaming control

  • memory tracking

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