Elevate Your AI Pair Programming with Copilot's Contextual Modes

Moving Beyond Basic Code Completion​

If you’ve used GitHub Copilot for simple code suggestions, you’ve only scratched the surface. This post explores its advanced features—Ask Mode, Edit Mode, and Agent Mode—turning Copilot into a dynamic development ally. With real-world examples and actionable tips, you’ll see how these tools can enhance your workflow.

Ask Mode: Your IDE-Integrated Knowledge Base​

Ask Mode transforms Copilot into a contextual expert, answering questions based on your codebase—far surpassing generic search results.

Real-World Applications​

Imagine you’re working with this code:

// Your existing code
const users = [{ name: 'Alice', age: 30 }, { name: 'Bob', age: 25 }];
users.map(user => user.age);

You could ask Copilot:

• "What’s the difference between map and forEach here?"
• "How can I optimize this for large datasets?"
• "What edge cases should I consider?"

Copilot might explain that map creates a new array while forEach doesn’t, suggest using forEach for performance with large datasets, or highlight potential issues like missing properties.

Pitfall to Watch​

Vague questions yield vague answers. Precision is key to unlocking Ask Mode’s potential.

Best Practices for Ask Mode​

1. Be Specific

   • ❌ "What’s wrong with this?"
   • ✅ "Why might this map call skip undefined values?"

2. Request Examples

   // Prompt: "Show me how to filter users over 18"
   
   // Option 1: Using filter
   const adults = users.filter(user => user.age > 18);
   
   // Option 2: Using forEach
   const adults = [];
   users.forEach(user => { if (user.age > 18) adults.push(user); });
   

3. Learn Actively

   • Ask about concepts (e.g., "Explain memoization").
   • Explore trade-offs (e.g., "When should I use promises vs. async/await?").

Edit Mode: Intelligent Code Transformation​

Edit Mode lets you refactor or upgrade code by describing your goals, with Copilot handling the implementation.

Example: Updating Old Code​

Take this outdated snippet:

function getData(id, callback) {
    $.ajax({
        url: '/data/' + id,
        success: function(result) {
            callback(null, result);
        },
        error: function(err) {
            callback(err);
        }
    });
}

Prompt: "Rewrite this using async/await and Fetch API."

Copilot might produce:

async function getData(id) {
    try {
        const response = await fetch(\`/data/\${id}\`);
        if (!response.ok) throw new Error('Network error');
        return await response.json();
    } catch (error) {
        throw new Error(\`Failed to fetch: \${error.message}\`);
    }
}

Potential Limitation​

Copilot may miss subtle requirements (e.g., timeout handling) unless specified. Always double-check the output.

Edit Mode Best Practices​

1. Set Clear Goals

   • Mention targets (e.g., "Use ES2020 syntax").
   • Define style (e.g., "Keep it concise").

2. Refine Step-by-Step

   // Step 1: "Switch to async/await"
   // Step 2: "Add error logging"
   // Step 3: "Implement a 10-second timeout"
   

3. Verify Results

   • Test edge cases.
   • Confirm functionality matches intent.

Agent Mode: Your Autonomous Development Partner​

Agent Mode (part of Copilot Workspace) autonomously handles multi-step tasks, acting like a virtual collaborator.

Example: Creating a File Analyser​

Prompt:

Build a tool that:
1. Reads a CSV file
2. Calculates column averages
3. Outputs results to JSON

Copilot could:

1. Set up a Node.js script with fs and csv-parse.
2. Compute averages with clear logic.
3. Write a JSON file with formatted results.

Real-World Case​

A data team used Agent Mode to process sales reports, cutting manual work by 70%—though they adjusted the CSV parser for custom delimiters.

Caveat​

Ambiguous prompts can lead to incomplete solutions. Clarity is critical.

Maximizing Agent Mode​

1. Detail Your Needs

   • Specify inputs and outputs.
   • Outline key features.

2. Break It Down

   # Step 1: "Create file reader"
   # Step 2: "Add average calculator"
   # Step 3: "Export to JSON"
   

3. Check Thoroughly

   • Run with sample data.
   • Validate edge cases.

Pro Tips for Advanced Usage​

1. Mix Modes

   // Ask Mode: "What’s a good structure for a task queue?"
   // Edit Mode: "Apply this to my scheduler"
   // Agent Mode: "Generate tests for it"
   

2. Optimize Efficiency

   • Save common prompts.
   • Share workflows with teammates.

3. Team Collaboration

   • Document effective prompts.
   • Standardize usage guidelines.

Looking Ahead​

Copilot’s advanced features are just the beginning. Future posts will cover tailoring it to your needs, including:

• Matching your team’s coding conventions.
• Crafting reusable templates.
• Linking it to deployment pipelines.

Stay tuned for more!

Conclusion​

GitHub Copilot’s Ask Mode, Edit Mode, and Agent Mode make it more than a code completer—they make it a partner. By asking smart questions, refining code effortlessly, and automating complex tasks, you can work faster and smarter. Try these features, tweak your approach, and see how far AI can take your development.

What’s your favourite Copilot trick? Let us know below!

How an AI coding assistant changed the way I write software—and how it might change yours too

My First Week with Copilot​

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A comprehensive guide for tech leaders navigating the AI ecosystem

Figure: A comprehensive overview of AI evolution from early approaches to modern generative and predictive systems

The ChatGPT Phenomenon: Missing the Bigger Picture​

Picture this: your car navigates rush-hour traffic autonomously, your medical scan receives near-instant AI analysis, and your favourite tune is co-written by an algorithm. This isn't science fiction—it's our emerging reality. Artificial intelligence is transforming society at breakneck speed, offering extraordinary promise while raising legitimate concerns about job displacement and human purpose.

In our AI evolution series, we've journeyed from symbolic systems and early neural networks through machine learning and deep learning. Now we arrive at generative AI—a true paradigm shift where machines don't just analyze data; they create original content. This transformation is redefining our relationship with technology across industries, creativity, and human-machine collaboration.

Generative AI is a powerful tool for transforming ideas into reality. The key to unlocking its full potential lies in crafting effective prompts. In this guide, we'll explore how to create prompts that maximize the capabilities of Generative AI, using a practical example: building a mobile-first responsive website.