Table of contents
- Code Generation
- Code Completion
- Bug Detection
- Code Review
- API Documentation Generation
- Query Optimization
- User Interface Design
- Automated Testing
- Code refactoring
- Design pattern suggestions
- Algorithm development
- Code translation
- Personalized learning
- Code visualization
- Data visualization
- All Developer news in one tab!
In this article, we'll explore some awesome ChatGPT-4 prompts specifically tailored for software developers. These prompts can assist with tasks such as code generation, code completion, bug detection, code review, API documentation generation, and more.
Code Generation
Generate a boilerplate
[language]
code for a[class/module/component]
named [name] with the following functionality:[functionality description].
Create a [language] function to perform
[operation]
on[data structure]
with the following inputs: [input variables] and expected output:[output description]
.Generate a
[language]
class for a[domain]
application that includes methods for[methods list]
and properties[properties list]
.Based on the [design pattern], create a code snippet in [language] that demonstrates its implementation for a [use case].
Example:
Generate a boilerplate Python code for a shopping cart module named "ShoppingCart" with the following functionality:
A constructor that initializes an empty list to store cart items.
A method called "add_item" that takes in an item object and adds it to the cart.
A method called "remove_item" that takes in an item object and removes it from the cart if it exists.
A method called "get_items" that returns the list of items in the cart.
A method called "get_total" that calculates and returns the total price of all items in the cart.
Code Completion
In
[language]
, complete the following code snippet that initializes a [data structure] with[values]
:[code snippet]
.Finish the
[language]
function that calculates [desired output] given the following input parameters:[function signature]
.Complete the
[language]
code to make an API call to[API endpoint]
with [parameters] and process the response:[code snippet]
.
Example: Finish the Python function that calculates the average of a list of numbers given the following input parameters:
def calculate_average(num_list)
Bug Detection
Identify any potential bugs in the following [language] code snippet:
[code snippet]
.Analyze the given [language] code and suggest improvements to prevent [error type]:
[code snippet]
.Find any memory leaks in the following [language] code and suggest fixes:
[code snippet]
.
Example: Identify any potential bugs in the following Python code snippet:
def calculate_sum(num_list):
sum = 0
for i in range(len(num_list)):
sum += num_list[i]
return sum
Code Review
Review the following
[language]
code for best practices and suggest improvements:[code snippet]
.Analyze the given
[language]
code for adherence to[coding style guidelines]
:[code snippet]
.Check the following [language] code for proper error handling and suggest enhancements:
[code snippet]
.Evaluate the modularity and maintainability of the given
[language]
code:[code snippet]
.
Example: Review the following Python code for best practices and suggest improvements:
def multiply_list(lst):
result = 1
for num in lst:
result *= num
return result
API Documentation Generation
Generate API documentation for the following
[language]
code:[code snippet]
.Create a concise API reference for the given
[language]
class:[code snippet]
.Generate usage examples for the following
[language]
API:[code snippet]
.
Example: Generate API documentation for the following JavaScript code:
/**
* Returns the sum of two numbers.
* @param {number} a - The first number to add.
* @param {number} b - The second number to add.
* @returns {number} The sum of a and b.
*/
function sum(a, b) {
return a + b;
}
Query Optimization
Optimize the following SQL query for better performance:
[SQL query]
.Analyze the given SQL query for any potential bottlenecks:
[SQL query]
.Suggest indexing strategies for the following SQL query:
[SQL query]
.Optimize the following NoSQL query for better performance and resource usage:
[NoSQL query]
.
Example: Optimize the following SQL query for better performance:
SELECT *
FROM orders
WHERE order_date BETWEEN '2022-01-01' AND '2022-12-31'
ORDER BY order_date DESC
LIMIT 100;
User Interface Design
Generate a UI mockup for a
[web/mobile]
application that focuses on [user goal or task]
.Suggest improvements to the existing user interface of
[app or website]
to enhance[usability, accessibility, or aesthetics]
.Design a responsive user interface for a
[web/mobile]
app that adapts to different screen sizes and orientations.
Example: Generate a UI mockup for a mobile application that focuses on managing personal finances.
Automated Testing
Generate test cases for the following [language] function based on the input parameters and expected output:
[function signature]
.Create a test script for the given [language] code that covers [unit/integration/system] testing:
[code snippet]
.Generate test data for the following [language] function that tests various edge cases:
[function signature]
.Design a testing strategy for a [web/mobile] app that includes [unit, integration, system, and/or performance] testing.
Example: Generate test cases for the following Python function based on the input parameters and expected output:
def divide(a: float, b: float) -> float:
if b == 0:
raise ZeroDivisionError('division by zero')
return a / b
Code refactoring
Suggest refactoring improvements for the following [language] code to enhance readability and maintainability:
[code snippet]
.Identify opportunities to apply [design pattern] in the given [language] code:
[code snippet]
.Optimize the following [language] code for better performance:
[code snippet]
.
Example: Optimize the following Python code for better performance:
def find_max(numbers):
max_num = numbers[0]
for num in numbers:
if num > max_num:
max_num = num
return max_num
Design pattern suggestions
Based on the given [language] code, recommend a suitable design pattern to improve its structure:
[code snippet]
.Identify opportunities to apply the [design pattern] in the following [language] codebase:
[repository URL or codebase description]
.Suggest an alternative design pattern for the given [language] code that may provide additional benefits:
[code snippet]
.
Example: Based on the given Python code, recommend a suitable design pattern to improve its structure:
class TotalPriceCalculator:
def calculate_total(self, items):
pass
class NormalTotalPriceCalculator(TotalPriceCalculator):
def calculate_total(self, items):
total = 0
for item in items:
total += item.price * item.quantity
return total
class DiscountedTotalPriceCalculator(TotalPriceCalculator):
def calculate_total(self, items):
total = 0
for item in items:
total += item.price * item.quantity * 0.9 # apply 10% discount
return total
class Order:
def __init__(self, items, total_price_calculator):
self.items = items
self.total_price_calculator = total_price_calculator
def calculate_total(self):
return self.total_price_calculator.calculate_total(self.items)
class Item:
def __init__(self, name, price, quantity):
self.name = name
self.price = price
self.quantity = quantity
Algorithm development
Suggest an optimal algorithm to solve the following problem:
[problem description]
.Improve the efficiency of the given algorithm for
[specific use case]
:[algorithm or pseudocode]
.Design an algorithm that can handle
[large-scale data or high-throughput]
for[specific task or operation]
.Propose a parallel or distributed version of the following algorithm to improve performance:
[algorithm or pseudocode]
.
Code translation
Translate the following
[source language]
code to[target language]
:[code snippet]
.Convert the given
[source language]
class or module to[target language]
while preserving its functionality and structure:[code snippet]
.Migrate the following
[source language]
code that uses[library or framework]
to [target language] with a similar library or framework:[code snippet]
.
Example: Translate the following Python code to JavaScript:
def factorial(n):
if n == 0:
return 1
else:
return n * factorial(n-1)
Personalized learning
Curate a list of resources to learn
[programming language or technology]
based on my current skill level:[beginner/intermediate/advanced]
.Recommend a learning path to become proficient in
[specific programming domain or technology]
considering my background in[existing skills or experience]
.Suggest project ideas or coding exercises to practice and improve my skills in
[programming language or technology]
.
Code visualization
Generate a UML diagram for the following
[language]
code:[code snippet]
.Create a flowchart or visual representation of the given
[language]
algorithm:[algorithm or pseudocode]
.Visualize the call graph or dependencies of the following
[language]
code:[code snippet]
.
Example: Generate a UML diagram for the following Java code:
public abstract class Vehicle {
private String model;
public Vehicle(String model) {
this.model = model;
}
public String getModel() {
return model;
}
public abstract void start();
public abstract void stop();
}
public class Car extends Vehicle {
public Car(String model) {
super(model);
}
@Override
public void start() {
System.out.println("Starting car engine");
}
@Override
public void stop() {
System.out.println("Stopping car engine");
}
}
public class Motorcycle extends Vehicle {
public Motorcycle(String model) {
super(model);
}
@Override
public void start() {
System.out.println("Starting motorcycle engine");
}
@Override
public void stop() {
System.out.println("Stopping motorcycle engine");
}
}
Data visualization
Generate a bar chart that represents the following data:
[data or dataset description]
.Create a line chart that visualizes the trend in the following time series data:
[data or dataset description]
.Design a heatmap that represents the correlation between the following variables:
[variable list]
.
Thanks for reading
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