nexa-lang 27.0.2

Nexa — The AI-Native Programming Language. Modern, expressive, with built-in model/train/predict keywords.

⚡ Nexa Programming Language

Modern · AI-Native · Expressive · Safe

The language where AI is a first-class citizen.
Blending the clarity of Python, the safety of Rust, and built-in AI primitives — in one clean syntax.

import "agent"

// Build an AI chatbot in 10 lines 🤖
let bot = agent.create("groq", model="llama-3.3-70b")
var history = []

loop {
    let input = read("You: ")
    if input == "quit" { break }
    append(history, {"role": "user", "content": input})
    let reply = await bot.chat(history)
    print(f"Bot: {reply}")
}

👆 That's it. An AI chatbot with memory. In Nexa.

📖 Documentation · 🚀 Quick Start · 💬 Community · 🗺️ Roadmap

---

✨ Why Nexa?

Feature	Python	Rust	Go	Nexa
Easy syntax	✅	❌	✅	✅
Type safety	⚠️	✅	✅	✅
AI keywords built-in	❌	❌	❌	✅
Pattern matching	⚠️	✅	❌	✅
Async/await	✅	✅	✅	✅
REPL	✅	❌	❌	✅
Built-in test framework	❌	✅	✅	✅
Pipe operators	❌	❌	❌	✅
Package manager	✅	✅	✅	✅

---

🚀 Quick Start

Install

pip install nexa-lang

Run your first Nexa program

echo 'print("Hello, Nexa!")' > hello.nexa
nexa run hello.nexa

Or use the REPL

nexa repl

---

🌟 Core Features

🔒 Immutable by Default

let name = "Nexa"   // immutable — safe
var count = 0       // explicit mutability
count += 1

🤖 AI as a First-Class Citizen

// Train an ML model with language-level keywords
model Classifier {
    layer Dense(128, activation="relu")
    layer Dense(64,  activation="relu")
    layer Dense(10,  activation="softmax")
}

let clf = new Classifier()
train clf on training_data {
    epochs    = 10
    optimizer = "adam"
    loss      = "crossentropy"
}

let output = predict clf(input_features)

🔀 Pipe Operators

// Chain transformations elegantly
let result = [1, 2, 3, 4, 5]
    |> map(fn(x) => x * 2)
    |> filter(fn(x) => x > 4)
    |> sum()
// result = 24

🎯 Pattern Matching

match response {
    case {"ok": true,  "data": d} { process(d) }
    case {"ok": false, "error": e} { log_error(e) }
    default { print("unexpected response") }
}

⚡ Async / Concurrent

async def fetch_all(urls) {
    for url in urls {
        spawn fetch(url)   // concurrent tasks
    }
}

🧪 Built-in Testing

test "addition works" {
    assert 2 + 2 == 4
}

bench "list append x1000" {
    var l = []
    for i in 0..1000 { append(l, i) }
}

Run with:

nexa test myfile.nexa
nexa bench myfile.nexa

🌐 Generics (Templates)

template Stack<T> {
    var items: List = []
    def push(item: T)  { append(items, item) }
    def pop()  -> T    { return items[len(items)-1] }
    def size() -> Int  { return len(items) }
}

let s = new Stack<Int>()
s.push(42)
s.pop()   // 42

---

📦 Package Manager

# Install a package
nexa pkg install nexa_http

# Search packages
nexa pkg search ai

# Publish your package
nexa pkg publish

---

🛠️ CLI Reference

Command	Description
nexa run file.nexa	Execute a Nexa script
nexa repl	Start the interactive REPL
nexa test file.nexa	Run all tests
nexa check file.nexa	Static type checking
nexa fmt file.nexa	Format code
nexa bench file.nexa	Run benchmarks
nexa doc file.nexa	Generate documentation
nexa pkg install <pkg>	Install a package
nexa pkg publish	Publish a package

---

📚 Documentation

Resource	Description
📖 The Nexa Book	Complete language reference (Ch 1–20)
⚡ Nexa by Example	Quick copy-paste examples
🤖 AI Tutorial	Build AI apps with Nexa
🌐 Web Tutorial	REST APIs and web servers
🔐 Security Guide	Nexa for cybersecurity

---

🏗️ Real-World Examples

🌐 REST API Server

import "http"

def handle_hello(req) {
    return {"message": f"Hello, {req.params.name}!"}
}

let app = http.server()
app.get("/hello/:name", handle_hello)
app.listen(8080)
print("Server running on http://localhost:8080")

🤖 AI Agent with Memory

import "agent"

let bot = agent.create("groq", model="llama-3.3-70b")
var history = []

loop {
    let user_input = read("You: ")
    if user_input == "quit" { break }

    append(history, {"role": "user", "content": user_input})
    let reply = await bot.chat(history)
    print(f"Bot: {reply}")
    append(history, {"role": "assistant", "content": reply})
}

🧠 ML Classifier

// AutoML — Nexa picks the best model automatically
automl target=labels from features {
    task       = "classification"
    time_limit = 60
}

---

🗺️ Roadmap

• Lexer, Parser, Interpreter (v1–v14)
• Type checker (nexa check)
• Async/await, concurrency (spawn)
• Generics / Templates, Structs, Enums, Newtypes
• Package manager + registry
• LSP server (VSCode extension)
• AI keywords (model, train, predict, automl)
• WASM bridge
• LLVM native compilation
• Nexa Playground (browser IDE)
• awesome-nexa community list
• Official nexa-lang.org website

---

🤝 Contributing

We love contributions! See CONTRIBUTING.md to get started.

# Clone and set up
git clone https://github.com/nexa-lang/nexa.git
cd nexa
pip install -e .

# Run the test suite
python -m pytest tests/

# Try a Nexa file
nexa run examples/hello.nexa

Good first issues are tagged good first issue.

---

🌍 Community

• 💬 Discord: discord.gg/fYWWpnkjgn
• 📣 Reddit: r/nexalang
• 🐦 Twitter: @nexalang

---

📄 License

Nexa is open-source under the MIT License.

---

Built with ❤️ for the future of programming.

If Nexa helps you, give it a ⭐ — it helps the project grow!