The Browser Was Just the Beginning
When Brendan Eich created JavaScript in 1995, it was designed specifically for the Netscape browser. Today, JavaScript runs on:
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Node.js
Server-side JavaScript runtime for building APIs and backend services.
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Deno
Modern runtime with built-in TypeScript support and secure defaults.
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Microcontrollers
IoT devices using Espruino or Johnny-Five for physical computing.
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CLI Tools
Command-line applications using libraries like Commander or Yargs.
🚀 Deno: The Next-Gen JavaScript Runtime
Deno brings modern JavaScript practices to the backend with:
TypeScript First
- Built-in TypeScript support
- Type inference without needing type definitions
- Automatic type suggestions
Security by Default
- Restricts filesystem/network access
- Explicit permission flags
- Isolated runtime sandboxes
Modern Toolchain
- Zero-config dependency management
- Integrated test runner
- Live-reload development server
Example: Hello World with Deno
deno run --allow-net https://deno.land/std@$std_version/http/file_server.ts
🔌 JavaScript in the Physical World
The rise of JavaScript-based microcontrollers has brought programming closer to physical computing:
Espruino
- JavaScript interpreter for microcontrollers
- WebSocket API for device communication
- Works with Arduino-compatible boards
Johnny-Five
- Robotics and IoT library for Node.js
- Supports Arduino, Raspberry Pi, and more
- Includes sensor libraries and visualization tools
Example: LED Blink (Arduino)
const pin = Device.pin(13);
setInterval(() => {
pin.high();
setTimeout(() => pin.low(), 250);
}, 500);
💻 Creating CLI Applications
JavaScript makes creating powerful command-line tools simple and effective:
Create CLI in 3 Lines
#!/usr/bin/env node
console.log("Hello, " + process.argv[2]);
Commander
- Argument parsing
- Help menu generation
- Interactive prompts
CLF (CLI Fast)
- Zero-config scaffolding
- Built-in code templates
- Auto-generated documentation
🔮 The Future of JS Beyond the Browser
WebAssembly Integration
JavaScript and WebAssembly will increasingly work together to create performance-optimized applications across all platforms.
AI/ML Tooling
JavaScript is becoming a dominant language in machine learning through TensorFlow.js and ONNX.js, enabling AI model execution in every environment.
Quantum Computing
Libraries like Qiskit (via JavaScript bindings) are making quantum algorithm development accessible through familiar JavaScript syntax.