Generative AI, including ChatAI, is not designed to replace you by writing all your code. its purpose is to assist you in enhancing your coding skills, streamlining your workflow, and making your learning process more efficient. 

ChatAI is here to augment your capabilities, providing insights where necessary and aiding in the complex process of building resilient software structures. We put together a list of the top 20 AI prompts for developers to help you get started.

Whether you’re a beginner eager to learn more or an experienced programmer sharpening your skills, eventually you need to know how to write the prompts that will help you kickstart that next big coding project. But, until then here are twenty helpful prompts.

Top 20 AI Prompts for Developers

These ChatAI prompts are carefully curated to help developers of all skill levels learn new frameworks, optimize code performance, and tackle various programming challenges. You’ll be a better programmer thanks to this toolkit, boosting your confidence and efficiency on the job.

Get ready to dive into and figure out how to shave hours from your workday during various stages of the development process.

1.  Explanation of Coding Concepts

Request a better understanding of a specific programming concept or function with this prompt:

“Explain how the [concept or function] works in [programming language].” Especially handy when studying a new language or revisiting an old one.

2.  Web Scraping

Extract information from websites effortlessly using this prompt: “Web scrape data from [URL] using Python.” It can save hours of manual research and data collection.

3.  Get Coding Best Practices

With the prompt “Show me best practices for writing [concept or function] in [programming language]” you can rest assured that you are following the highest standards for code development and your work aligns with the industry mavericks.

4.  Generate Code

Creating new functions can be a breeze with this prompt: “Write a [insert programming language] function. It accepts [input] and returns [output].“

5.  Suggest Development Frameworks

Going bonkers trying to figure out what framework to use for your project? Just ask “Can you recommend a suitable front-end framework for my website? I’m making an [insert website type] website.” It’s like having your very own tech advisor.

6.  Syntax

Eradicate guesswork by requesting the correct syntax using: “What is the correct syntax for a [statement or function] in [programming language]?” Et voila, your very own language manual, reinvented in the form of ChatAI.

7. System Design and Architecture

You can design better systems with expert guidance using the prompt: “You are an expert at system design and architecture. Tell me how to design a [system]. The technology stack is [comma-separated list of technologies].”

This prompt provides essential guidance, tailored to specific technology stacks, for developing efficient, scalable, and maintainable systems.

8. Code Complete

Use “Complete the code [code snippet]” to aid you when you’re stuck finishing a code snippet. You gain access to a virtual coding collaborator, capable of providing unique perspectives and solutions to overcome complex problems and enhancing your productivity.

9. Convert Code

Effortlessly convert between different languages or frameworks using this prompt: “Convert the below code snippet from [language/ framework] to [language/ framework]: [code snippet].”

It offers an accurate code translation, enabling you to adapt to different project requirements with ease.

10. Optimize Your Code with AI’s Help

Improve the performance of your code with “Optimize the following [programming language] code which [explain the functioning]: [code snippet].”

This will help you gain insights into performance enhancement techniques, making your applications run faster.

11. Code Review

Use this prompt to receive valuable feedback on your code: “Review the following [language] code for code smells and suggest improvements: [code block].”

This functions as an automated code review process, identifying and triaging problems early, and suggesting enhancements for better code efficiency and readability.

12. Fix a Bug

Sort out bugs with “How do I fix the following [programming language] code which [explain the functioning]? [code snippet].” The large language model will offer clear guidance and make the troubleshooting process more straightforward and less time-consuming.

13. Code Refactor

Enhance your code’s resilience and stability with “Refactor the given [language] code to improve its error handling and resilience: [code block].” It mimics having a seasoned developer guiding the refactoring process, enhancing your code’s scalability and overall quality.

14. Design Stage

Use “I need suggestions for designing an effective data model for my software project. Here are some details: [Briefly describe the project, key functionalities, user requirements, data sources, and relationships]” to receive suggestions for creating the best data models tailored to your project’s needs.

15. Have Fun Experimenting

With “I want you to act like a [programming language] interpreter/compiler. I will give you [programming language] code, and you will execute it.” Now, you’re essentially transforming the platform into an instant code execution playground.

16. Outline a Plan to Scale Your Project

Plan for future growth with “I’m working on a software project and need advice on ensuring scalability. Details: [Briefly describe the project, current usage and future growth, and technology stack].” This will unlock a software scalability expert at your disposal.

17. Unit Testing

Use the prompt “Write unit tests for the following [library/ framework] component [component code] using [testing framework/ library]” can simplify your unit testing process, ensuring your code’s integrity in the style of an automated test developer.

18. AI Guided Deployment

Determine the most effective deployment strategies with this prompt: “What are the best deployment strategies for this software project? [explain the project].” This will help you make the software’s transition from development to production smoother and more efficient.

19. Performance Optimization

Boost your application’s performance with expert suggestions using this prompt: “What techniques can I use to improve the performance of my application?” This will help you fine-tune your application, essentially functioning as if you had a performance-tuning specialist in your project team.

20. Documentation

Streamline your documentation process with this prompt: “Generate documentation for the code below. You should include detailed instructions to allow a developer to run it on a local machine, explain what the code does, and list vulnerabilities that exist in this code: [enter code].” 

Say hello to your automated technical writer, enhancing the quality, clarity, and comprehensibility of your code documentation, a necessity for effective knowledge transfer and code maintainability.

Ready, Set, Code

Coding has never been this convenient, thanks to these top 20 AI prompts for developers. From breathing life into a stubborn code snippet to hunting down those elusive bugs or getting your code to run faster than a cheetah, ChatAI’s got your back.

Now that you’ve got the lowdown, why be the keeper of all these coding secrets? Share these wise words with your developer buddies. Let’s help each other level up their coding game utilizing a large language model.

The post Top 20 AI Prompts for Developers: Programming Help is Here appeared first on ChatAI.

But First, A Quick Disclaimer

Before we delve into the heart of this guide, let’s establish a crucial caveat: ChatAI isn’t intended to fully replace human coding, and the smartest way to utilize AI today is as an augmentative tool. 

Consider it as a digital assistant, always at your side, meticulously analyzing each line of code, detecting bugs, identifying vulnerabilities, and offering enhancement suggestions. The human coder remains the pilot, guiding the AI in the desired direction, while the AI serves as the co-pilot, adjusting the course and keeping an extra set of eyes on potential issues.

Now that we know where AI performs best, let’s begin.

Supercharge Your Coding Skills with AI

1. Ignite Your Creativity – Get Code Ideas and Examples

Sometimes, it can be difficult to get your momentum going when you need to generate code from scratch—what we might call ‘coder’s block.’ 

You have a brilliant idea ready to be transformed into lines of code, yet putting it into tangible, operational scripts can sometimes feel agonizingly elusive. This challenge is where ChatAI’s power shines. It provides starter code examples to kickstart your project, providing inspiration when creativity runs dry.

You can ask the various ChatAI models to write some starter code for a project using the same prompt and compare results. 

Consider prompts that clearly articulate your project requirements. A well-phrased example might be: “Can you write some starter code for a machine learning project idea I’m working on in Python? I want to predict who will win the NBA scoring title and how many points they will score this year.”

The more concrete information you supply to ChatAI, the more refined results you’ll get. Even though ChatAI generates operational code snippets, you must apply due diligence and responsibility for the code you’re incorporating into your project.

It’s vital to focus on the ideas suggested, using them as a springboard for your creativity rather than blindly copying provided code snippets.

2. Refine Your Code with AI-Assisted Code Review

The code review process is integral to every software development cycle. However, human-driven reviews can sometimes involve biases influenced by factors like personality conflicts, seniority levels, or personal beliefs. 

One of the best ways to use AI is to review your code. This is especially helpful for newer developers who are not 100% sure what is right or wrong and best practices. 

In contrast to human code reviews, AI code reviews rely solely on data without being influenced by factors like personality clashes, seniority levels, or personal opinions.

Depending on the model, AI can help with one or more of the following:

• Identifying potential security vulnerabilities
• Code smells and detecting style and best practice errors
• Recommendations for improvements 
• Highlighting areas that need further scrutiny.
• Adding comments to code about what was changed

Sample prompts can range from code structure feedback to vulnerability identification.

Here are some creative prompt examples to sharpen your code:

Prompt #1: Can you review this HTML/CSS code and provide feedback on its structure and styling practices?

Prompt #2: I’ve written a JavaScript function for form validation. Can you review it for any potential security vulnerabilities?

Prompt #3: Review my Java code for a binary search algorithm and suggest any optimizations or improvements.

3. Revolutionize Debugging with AI Bug Detection

AI can be used to revolutionize how you debug code, making programming easier and smoother. 

One of the key advantages of AI in debugging is its ability to engage in an interactive dialogue, asking questions to accumulate comprehensive information around a request and then offering targeted solutions to specific bugs.

Pro Tip: AI’s bug-fixing capability can show significant differences across multiple runs. It can be beneficial to re-run the bug-detection request multiple times or use different AI models to obtain the most effective results.

Look at these potent debugging prompts that are ready to be added to your coding process:

Prompt #1

Tell me how to debug the code to solve the given error.

Project: [Project name/description]

Technology Stack: [Technology Stack]

Error: [Explain the error]

Prompt #2

I am getting the error: [Insert your error message here] Tell me how to fix it.


ChatAI’s bug detection abilities are typically better suited to small code snippets, usually less than a hundred lines of code. The AI models might occasionally stumble in detecting bugs and proposing fixes, reminding us of the importance of a human layer in the process.

Curious about more ways you can use AI in your professional and business life? Why not check out other articles that help you get the most out of your AI assistant, such as our prompt writing guide, tips on fact-checking your chatbot, or even making art with Picasso, our version of Midjourney?

The Bottom Line: Coding and AI

Employing these AI-powered strategies promises to expedite your coding process, unravel innovative solutions, and elevate your code quality. As AI continues to evolve, we can anticipate more impactful and transformative trends in the future of software development.

So why wait? Embrace the possibilities of AI and unravel its power to revolutionize your coding skills.

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