惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

小众软件
小众软件
C
Check Point Blog
Vercel News
Vercel News
Y
Y Combinator Blog
G
Google Developers Blog
P
Proofpoint News Feed
WordPress大学
WordPress大学
MongoDB | Blog
MongoDB | Blog
博客园 - 司徒正美
Last Week in AI
Last Week in AI
博客园 - 【当耐特】
N
Netflix TechBlog - Medium
L
LangChain Blog
V
V2EX
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
大猫的无限游戏
大猫的无限游戏
D
DataBreaches.Net
博客园_首页
B
Blog RSS Feed
The Cloudflare Blog
MyScale Blog
MyScale Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Microsoft Security Blog
Microsoft Security Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Building a Rust-Like Runtime for JavaScript in React
Dr Codewell · 2026-05-16 · via DEV Community

Dr Codewell

*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:

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

Enter fullscreen mode Exit fullscreen mode

…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:

import strictInit from "strictjs-runtime";

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

Enter fullscreen mode Exit fullscreen mode

Now objects become schema-driven:

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

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

Enter fullscreen mode Exit fullscreen mode

Invalid data throws immediately:

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

Enter fullscreen mode Exit fullscreen mode


Safer Async Functions

One thing I hate in frontend apps:

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

Enter fullscreen mode Exit fullscreen mode

Errors disappear everywhere.

So I experimented with a StrictFunction wrapper:

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

Enter fullscreen mode Exit fullscreen mode

The runtime can then:

  • track execution
  • monitor memory usage
  • enforce return structures
  • detect invalid async flows

Controlled Loops

Another experiment:

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

Enter fullscreen mode Exit fullscreen mode

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:

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

Enter fullscreen mode Exit fullscreen mode

Or runtime-validated hooks:

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

  return [state, setState];
};

Enter fullscreen mode Exit fullscreen mode

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

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

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

Enter fullscreen mode Exit fullscreen mode

Potential future features:

  • typed responses
  • response validation
  • automatic retries
  • streaming control
  • memory tracking