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semantic-coder-copilot-ai

semantic-coder-copilot-ai

Moazzam Qureshi

|
20 installs
| (0) | Free
No more feeling dumb down by full ai code generations, stay sharp with your critical thinking and problem solving skills with AI assisted natural language coding, you control the flow, you decide how it's designed , AI translates it for you on the run. Become 10x productive
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🚀 Semantic Coder Copilot AI

Enhance Your Productivity Without Losing Control of Your Code’s Structure and Logic

🚀 Semantic Coder Copilot AI bridges the gap between high-level thinking and real code, allowing developers to focus on logic and structure while maintaining full control over implementation.

Unlike traditional AI-powered code generators that spit out full code blocks and risk making developers reliant completely on AI, our extension transforms your semantic descriptions into clean, efficient, and structured code—while keeping you in the driver’s seat.


⚡ Why Choose Semantic Coder Copilot AI?

✅ Preserve Your Thought Process – Keep full control over the logic while reducing boilerplate coding.
✅ Boost Productivity – Turn structured thoughts into real, maintainable code instantly.
✅ Encourage Critical Thinking – Unlike black-box AI, we let you shape the structure while we handle the transformation.
✅ No Dumbed-Down AI – We assist, you lead. No mindless code dumping.

🎯 AI Model Support: Currently supports only Gemini
🎯 Default Shortcut: Ctrl + Alt + C (Stay in flow—generate code instantly as you type!)


📌 Example Usage (JavaScript)

Example 1: Authenticate User

Before:

authenticate_user(email, password)
    verify credentials using auth endpoint "https://api.example.com/auth" by doing a POST request
    parse the JSON response and return a boolean value indicating authentication success

After:

async function authenticateUser(email, password) {
    const response = await fetch("https://api.example.com/auth", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ email, password })
    });
    const json = await response.json();
    return json.success;
}

Example 2: Fetch and Process Orders

Before:

fetch_and_process_orders()
    fetch orders from "https://api.example.com/orders"
    filter orders where total amount is greater than 100
    group the remaining orders by customer ID
    return an object where keys are customer IDs, and values are lists of their orders

After:

async function fetchAndProcessOrders() {
    const response = await fetch("https://api.example.com/orders");
    const orders = await response.json();
    const filteredOrders = orders.filter(order => order.totalAmount > 100);
    return filteredOrders.reduce((acc, order) => {
        acc[order.customerId] = acc[order.customerId] || [];
        acc[order.customerId].push(order);
        return acc;
    }, {});
}

Example 3: Analyze Sales Data

Before:

analyze_sales_data(sales)
    remove entries with missing or invalid values
    calculate total revenue for each product category
    find the top-selling product category
    return an object containing total revenue and the top category

After:

function analyzeSalesData(sales) {
    const cleanedSales = sales.filter(sale => sale.productCategory && sale.revenue && sale.revenue > 0);
    const revenueByCategory = cleanedSales.reduce((acc, sale) => {
        acc[sale.productCategory] = (acc[sale.productCategory] || 0) + sale.revenue;
        return acc;
    }, {});
    let topCategory = null;
    let topRevenue = 0;
    for (const category in revenueByCategory) {
        if (revenueByCategory[category] > topRevenue) {
            topRevenue = revenueByCategory[category];
            topCategory = category;
        }
    }
    return { totalRevenue: revenueByCategory, topCategory: topCategory };
}

⚡ Getting Started

1️⃣ Install the extension
2️⃣ Use the shortcut: Ctrl + Alt + C to generate code instantly
3️⃣ Stay in the flow while coding


⚙️ Configuring Gemini Model & API Key

🔹 Choosing a Different Gemini Model:
By default, the extension uses the Gemini Pro model. However, you can change this based on your needs.

To switch models, press Ctrl + Shift + P in VS Code and search for:
🛠️ Semantic Coder Copilot AI: Set Model – Select this command to update the AI model.

🔹 Updating Your API Key:
To update your API key, press Ctrl + Shift + P in VS Code and search for:
🔑 Semantic Coder Copilot AI: Set API Key – Use this command to update your API key.

This ensures you always have access to the latest AI capabilities with the model of your choice!


📢 Join Our Community

💬 Have feedback or feature requests? Join our developer community on [Discord/Forum link]

🚀 Start coding smarter today with Semantic Coder Copilot AI!

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