How to Solve Any TypeScript Problem with Chat GPT in Minutes
If you are an entry level developer looking for a job, you might have heard of Chat GPT, a powerful natural language processing tool that can generate code, text, and more. But how can you use it effectively to improve your skills and impress potential employers? In this blog post, I will share some tips and tricks on how to use Chat GPT as a UI app on web app for TypeScript development.
The more detail question, the more precise response
One of the key features of Chat GPT is that it can understand natural language queries and generate relevant responses. However, not all queries are equally effective. If you want to get the most out of Chat GPT, you need to ask detailed and specific questions that clearly state your intent and context. For example, instead of asking “How do I write a function in TypeScript?”, you should ask “How do I write a function in TypeScript that takes two numbers as parameters and returns their sum?”. This way, Chat GPT can generate more accurate and useful code snippets for you.
Use it as a pair programming with Senior Developer
Another way to use Chat GPT as a UI app on web app is to use it as a pair programming partner with a senior developer. Pair programming is a technique where two developers work together on the same code, one writing the code and the other reviewing it. This can help you learn from the feedback and suggestions of the senior developer, as well as catch errors and bugs faster. You can use Chat GPT as the reviewer, by asking it to check your code for syntax, logic, or style errors, or to suggest improvements or alternatives. For example, you can ask Chat GPT “Is this code correct?” or “How can I make this code more readable?” or “What is a better way to write this code?”. Chat GPT can then provide you with helpful comments and hints that can improve your code quality and performance.
An example problem to solve and prompt to chat GPT
Let’s say you want to write a service in TypeScript that creates custom decorators and validates parameters from body in http. A custom decorator is a function that can modify the behavior or appearance of another function or class. A parameter validator is a function that can check if the input values match certain criteria or rules. For example, you might want to create a custom decorator that checks if the user is authenticated before calling a function, or a parameter validator that checks if the email address is valid before sending an email.
To solve this problem, you can use Chat GPT as a UI app on web app to generate some code for you. You can start by asking Chat GPT “Generate me a service in TypeScript that creates custom decorators and validates parameters from body in http”. Chat GPT might respond with something like this:
// A service class that creates custom decorators and validates parameters from body in http
class DecoratorService {
// A method that creates a custom decorator that checks if the user is authenticated
createAuthDecorato
// Return the custom decorator function
return function (target: any, propertyKey: string, descriptor: PropertyDescriptor) {
// Get the original function
const originalFunction = descriptor.value;
// Replace the original function with a new fu
descriptor.value = async function (...args: any[]) {
// Get the request object from the arguments
const req = args[0];
// Check if the user is authenticated
if (req.user) {
// Call the original function with the arguments
return await originalFunction.apply(this, args);
} else {
// Throw an e
throw new Error("Unauthorized");
}
};
};
}
// A method that creates a custom decorator that validates parameters from body in http
createBodyValidatorDecorator(...validators: Function[]) {
// Return the custom decorator function
return function (target: any, propertyKey: string, descriptor: PropertyDescriptor) {
// Get the original function
const originalFunction = descriptor.value;
// Replace the original function with a new function
descriptor.value = async function (...args: any[]) {
// Get the request object from the arguments
const req = args[0];
// Loop through the validators
for (const validator of validators) {
// Call the validator with the request body
const result = await validator(req.body);
// Check if the result is false or an error message
if (result === false || typeof result === "string") {
// Throw an error with the result as the message
throw new Error(result);
}
}
// Call the original function with the arguments
return await originalFunction.apply(this, args);
}
};
}
}
This is a possible solution that Chat GPT can generate for you. Of course, you can modify it or ask Chat GPT to generate a different solution if you are not satisfied with it. You can also ask Chat GPT to explain the code or provide some examples of how to use it.
Compare good prompt to bad prompt
As mentioned earlier, the quality of your prompt can affect the quality of Chat GPT’s response. A good prompt should be clear, specific, and relevant to your problem. A bad prompt can be vague, general, or irrelevant to your problem. For example, compare these two prompts:
- Good prompt: “Generate me a function in TypeScript that takes an array of numbers and returns the average.”
- Bad prompt: “Write some code in TypeScript.”
The good prompt tells Chat GPT exactly what you want it to do, and provides enough information for it to generate a valid and useful code snippet. The bad prompt is too broad and does not give Chat GPT any direction or context. Chat GPT might generate some random code that has nothing to do with your problem, or it might not generate anything at all.
Provide example with bug in code
Sometimes, you might encounter a bug in your code that you are not sure how to fix. In such cases, you can use Chat GPT as a UI app on web app to help you debug your code. You can provide Chat GPT with an example of your code that has a bug, and ask it to find and fix the bug for you. For example, suppose you have this code that is supposed to sort an array of numbers in ascending order, but it does not work as expected:
// A function that sorts an array of numbers in ascending order
function sortArray(array: number[]) {
// Loop through the array
for (let i = 0; i < array.length; i++) {
// Loop through the array again
for (let j = 0; j < array.length; j++) {
// Compare the current element with the next element
if (array[i] > array[j]) {
// Swap the elements
let temp = array[i];
array[i] = array[j];
array[j] = temp;
}
}
}
// Return the sorted array
return array;
}
// Test the function
console.log(sortArray([5, 3, 1, 4, 2])); // Expected output: [1, 2, 3, 4, 5]
You can ask Chat GPT “What is wrong with this code?” or “How can I fix this code?”. Chat GPT might respond with something like this:
// The bug is in the inner loop condition. It should be j < i instead of j < array.length.
// This way, it only compares the current element with the previous elements that are already sorted.
// Otherwise, it will undo the previous swaps and mess up the order.
// A function that sorts an array of numbers in ascending order
function sortArray(array: number[]) {
// Loop through the array
for (let i = 0; i < array.length; i++) {
// Loop through the array again
for (let j = 0; j < i; j++) { // Fixed the bug here
// Compare the current element with the previous element
if (array[i] < array[j]) { // Changed the comparison operator here
// Swap the elements
let temp = array[i];
array[i] = array[j];
array[j] = temp;
}
}
}
// Return the sorted array
return array;
}
// Test the function
console.log(sortArray([5, 3, 1, 4, 2])); // Expected output: [1, 2, 3, 4, 5]
This is how Chat GPT can help you debug your code by finding and fixing the bug for you. Of course, you should always test and verify the code before using it.
Conclusion
Chat GPT is a powerful tool that can help you learn and improve your TypeScript development skills. You can use it as a UI app on web app to generate code snippets, review your code, debug your code, and more. However, you need to know how to use it effectively by asking detailed and specific questions that match your problem and context. You also need to check and modify the code that Chat GPT generates for you to ensure its correctness and quality. By following these tips and tricks, you can use Chat GPT as a UI app on web app to enhance your TypeScript development experience and impress potential employers. Happy coding! 🙌
