How to Use AI to Generate Code With Multiple Languages

Let’s see, what if you’re a computer programmer and you are really tired today, but you have got a tight deadline, wouldn’t you wish you could just complete creating your applications easily or maybe without being an expert in coding? Then, you’ll be glad to know that AI has made it possible, isn’t it amazing?

Artificial Intelligence has been playing a powerful role in the lives of coders as well as coding students, helping them to write small snippets of code or even solve programming issues that might be too complex. Also, let me share with you two AI tools: ChatGPT and Google’s Gemini, which shocked me when my friend literally produced a code for creating a simple application, even though he was literally a beginner.

Before I jump into those tools, let me share with you how you can use AI to generate those codes, that too in multiple languages, and how you can squeeze out the benefits from technology!

1. Using AI to Generate Codes in Multiple Languages

As you know, we have multiple languages in coding like Python, JavaScript, and C++, and being an IT student on my board examinations, I can confirm it is quite difficult to grasp all of them but what if I say, you can use AI to directly ask these tools to write you the code in your preferred language and that too it produces the correct output, instantly? Yes, AI does that for you. AI has trained its models very well on a variety of datasets of code, which can identify certain patterns and give you code as per the coding programming you’ve used as your input.

So, basically the steps are simple:

1. Enter your problem or task: You can give AI your problem or task, and tell it to create a particular code you want (For instance, “Write a code to reverse a string in C++”)
2. Analyzing the problem by AI: There is something called, Natural Language Processing that allows AI to understand and interpret as well as give a response to our human language. So, by using this feature AI to analyze the type of language your request includes.
3. Generation of code: Since AI has been exposed to millions of examples of code, it uses that knowledge to generate a code for your problem in the language you have requested.

2. Tools Used for AI-Assisted Coding

There are several tools that developers can use to generate codes. Some of the popular ones are ChatGPT and Gemini. Let’s start off:

a. OpenAI’s ChatGPT

You are all aware of ChatGPT, right? It is powered by GPT-4 and has recently become a widely used tool in favor of developers to get help in coding in several languages. ChatGPT can generate any code of high-quality outputs along with explanations that help you understand the code. For example, if you want a code to create a simple HTML page, ChatGPT will give you the code almost immediately, giving you extra time for your work.

Characteristics of ChatGPT

• It supports multiple languages like Java, JavaScript, Python, C++, and many other languages.
• Assists in debugging, where even if you give an error, ChatGPT will identify it and give you suggestions to fix it.
• It gives you explanations of the code, giving you an understanding of how the code works.

Advantages of Using ChatGPT

• Flexibility: It is flexible enough to generate not just code snippets but also an entire code for a complete app, it all depends on what you need.
• Works as a Learning Source: Because of its ability to give even explanations and not just codes, it can also be a great tool for you to learn.

b. Google’s Gemini AI

Gemini AI was produced in recent years by Google, which is kind of in competition with OpenAI’s models, which are all designed to take care of tasks such as generating codes and understanding languages.

Characteristics of Gemini AI

• It can understand multiple models. It works with both text as well as code, which makes it more adaptable.
• It has flexibility in languages, and in understanding multiple coding languages.
• It has a particular skill to interpret unclear or vague requests given by users and produce the relevant code.

Main Benefit of Using Gemini AI:

One of the main reasons, why Gemini AI is able to stand out among others is that it has the ability of contextual awareness. It is one of the mentioned characteristics above, which is how it can excellently evaluate even vague codes that are even incomplete, which makes it easy for users who do not provide instructions in detail.

3. ChatGPT Vs Gemini for Coding

You’ve to know, both Gemini and ChatGPT have the ability to produce high-quality codes when the request is entered that too, independent of which coding language you enter in it. But, there are quite some differences and similarities.

Similarities

• Supports multiple coding languages such as C++, JavaScript, Python and so on.
• Both of them are excellent in understanding the prompts by users in our daily languages.
• They also review the codes and debug them by studying the given code and giving suggestions on correcting or improving the codes.

Differences

Feature	ChatGPT	Google Gemini
Speed	Quick generation	Highly detailed but slightly slower
Complexity of Code	It takes care of complex user inputs but at times requires user assistance for edge cases.	Much better at handling complex and vague coding requests.
Explanation of Code	Excellent for beginners as it breaks down the codes.	Also explains the code, but it isn’t beginner friendly.
User Interface	Engaging and easier to use plus has a chatbot format.	Integrates with other tools in Google and focus on flexibility.

Which to Choose: ChatGPT or Gemini?

Let’s see briefly when you should choose each of these tools.

• ChatGPT: If you want faster code snippets, along with explanations of the code and a learning resource, ChatGPT can be your best friend.
• Google Gemini: If you want to get deeper knowledge about complex problems or tasks, then Gemini might be preferable.

To finalize, I would say that clearly AI has changed the idea of coding from a really difficult task to a more easier process. By using tools such as ChatGPT and Gemini, it has become easier, for you to just give the request and you can get the codes generated in multiple coding languages., which allows you to learn as well as get codes quicker. Both these tools have similar characteristics but they do slightly differ from each other. Why don’t you try these tools based on your needs, and enjoy coding using AI?

Frequently Associated Questions (FAQs)