AI rarely gets complex tasks perfect on the first attempt. Use Copilot Chat's conversational nature to refine prompts and guide the AI towards the desired outcome through iteration.
Copilot Chat remembers the context of your current conversation. Use this to your advantage:
You (Initial Prompt):
Generate a simple Express route for GET /api/items that returns a static list of item names.
Copilot (Potential Initial Response): (Might generate a basic route)
app.get('/api/items', (req, res) => {
const items = ["item1", "item2", "item3"];
res.json(items);
});
You (Analysis): Okay, but I need it to include error handling and use async/await structure.
You (Follow-up Prompt in same chat):
Modify that route handler to be an async function and include a basic try/catch block that sends a 500 status on error.
Copilot (Refined Response): (Generates improved code)
app.get('/api/items', async (req, res) => {
try {
const items = ["item1", "item2", "item3"];
// Simulate async operation if needed
await new Promise(resolve => setTimeout(resolve, 50));
res.json(items);
} catch (error) {
console.error("Error fetching items:", error);
res.status(500).send("Internal Server Error");
}
});
Leverage Copilot Chat's conversational context. Don't start a new chat for every refinement. Analyze responses and ask targeted follow-up questions in the same thread to build upon previous interactions.