ChatGPT is a natural language processing (NLP) model developed by OpenAI. It was designed to generate human-like conversations and provide personalized recommendations based on user input. ChatGPT uses an encoder-decoder architecture, which takes in the user’s messages as inputs and outputs highly engaging dialogue responses.

The model is trained on large amounts of conversational data to generate meaningful and personalized responses. This makes it a powerful tool for applications such as virtual customer service agents, online tutoring systems, and more. The model can also detect emotions from the user input and respond with appropriate empathy or understanding. By using ChatGPT, businesses can provide better customer service and more natural conversation experiences. Additionally, it can automate mundane tasks such as customer service inquiries or order-taking.

With ChatGPT, businesses no longer have to worry about manually responding to every query or request; instead, they can use the model’s powerful AI capabilities to provide fast, personalized responses that are accurate and relevant. ChatGPT can also help save time and resources by automating repetitive tasks such as order-taking or customer inquiries. Ultimately, ChatGPT is a powerful tool that businesses can use to streamline operations and provide better customer service experiences.

What makes ChatGPT stand out is its ability to understand context-specific nuances of conversational language, enabling businesses to provide more natural and engaging conversations with customers. In addition, ChatGPT offers several customization options so that companies can tailor the chatbot to their specific needs. This allows them to create authentic conversations tailored to their customer’s individual needs and preferences.

Overall, ChatGPT is an invaluable tool for companies looking to engage with customers in a more efficient and personalized way.

How Does It Work?

You can use ChatGPT as soon as you sign up – no technical skills are required! To get started, ask it questions naturally and conversationally.

Visit to start creating! This will open up the ChatGPT chat view for you, which looks like this:


Image Source: ChatGPT

To allow the AI model to carry out our requests, we first need to establish those requirements. For example, let’s try something more difficult than simply printing “Hello, world!”:

Write a program to check daily cryptocurrencies prices

chatgpt program

Image Source: ChatGPT

The results above prove that the AI model created an excellent Python script. The code is even complete with comments and testing examples for the function. Plus, it contains “documents” to explain the code in detail.
This makes ChatGPT so special- no other AI on the market can compare.

ChatGPT Can Deliver Programs Much Faster Than Junior Developers

More astonishingly, the initial response and associated software were generated in seconds. How quickly can a young software engineer develop the same program if you ask her to?

She would first need to Google a suitable API for the data. The first Google result is only sometimes the most useful. First, shelikely needs some time to experiment with a few APIs. Second, she needs to write the program; otherwise, she risks forgetting Python’s unique syntax and having to look it up again on Google. Third, if she can’t make the code bug-free initially, she requires time to debug it during the process.

She finally completed the coding. But before giving it to you, she must test it first. The actions listed above should take a junior developer at least 20 minutes.

Consequently, this is the query:

Will you recruit a young engineer or an AI chatbot like ChatGPT, if you were the employer?

ChatGPT Knows All Programming Languages

It appears that Python is ChatGPT’s preferred programming language. Let’s try allowing it to create the same software in other languages:

Write a program using Java to check daily cryptocurrencies prices

chatgpt program

Image Source: ChatGPT

Write a program using Go to check daily cryptocurrencies prices

chatgpt program

Image Source: ChatGPT

Write a program using Python to check daily cryptocurrencies prices

chatgpt program

Image Source: ChatGPT

Naturally, ChatGPT is proficient in all popular programming languages. However, in my opinion, even senior human coders cannot speak as many languages as it does.

The ChatGPT has a flaw that prevents it from correctly separating code snippets from the text.

Debugging Your Programs Using ChatGPT

A competent software engineer is undoubtedly skilled at debugging. Let’s see how ChatGPT can aid in program debugging:

chatgpt program

Image Source: ChatGPT

As the example above demonstrates, the w option wasn’t added when I used Python’s open() functionw option wasn’t added when I used Python’s available ()function, as the example above demonstrates.

It can only go further. The script above also has the issue that the file was opened but never shut down. It would be fantastic if the ChatGPT could advise me to use a context manager to rebuild the script.

Therefore, in this instance, a skilled Python coder can identify possible issues that ChatGPT cannot.

Developing a Whole Application using ChatGPT

Writing scripts is only one aspect of software engineering work. Creating an entire commercial application is the ultimate goal for a software team.

Can ChatGPT create an entire app? Let’s check:

Build a chat APP as WhatsApp for IOS.

build app using chatgpt

Image Source: ChatGPT

As was seen earlier, the AI model categorically cannot accomplish this. It can only provide us with some basic instructions for the work.

ChatGPT Pros and Cons

ChatGPT is a powerful language model that can generate text and code unlike anything else. Finding solutions to challenging problems and communicating them convincingly are strengths of this system.

However, the system still has a lot of limitations and cautions, just like ChatGPT’s forerunners. These limitations are well-acknowledged by OpenAI and are noted plainly on the ChatGPT home page.


  • ChatGPT demonstrates a thorough mastery of both coding languages and written language.  ChatGPT is capable of writing mathematical proofs as well as solving coding problems.
  • A discussion with AI may be had quickly and naturally with ChatGPT.
  • Currently, the technology requires a sign-up and is free to use.
  • Even while ChatGPT is still in its infancy, it has already made an impression… This is so encouraging!
  • You can utilize ChatGPT, a flexible AI chatbot, as an AI assistant to speed up the workflows involved in creating content and even software.


  • Even though ChatGPT is inaccurate in its facts, the tone of its voice is persuasive. Even though it isn’t, it could generate an answer that appears to be factually accurate. Depending on the user’s degree of understanding, this could be challenging. Examining the ChatGPT responses to determine what is authentic and incorrect takes time.
  • You’ll notice patterns and phrases recur in the text if you frequently use ChatGPT. This might result in the creation of duplicate or repetitively structured content.
  • Sometimes ChatGPT freezes and is unable to respond to your inquiries. But after that, it will give a response by changing one or two words.
  • Because ChatGPT is now a free service, there is a high demand for it. This may result in slowness or outage (I had to wait 4 hours before I could test the tool)
  • Overall, the ChatGPT has only recently been released and is not yet in its final form. As a result, it has the potential to be prejudiced, is unable to ask clarifying questions, and also can generate pretty wordy outputs!

Wrap up

OpenAI unveiled the incredible ChatGPT AI model. It can write scripts in any language we desire and has programming skills. It may also aid in the debugging of our applications and code fragments.

As a result, it occasionally serves as a valuable tool for software programmers. However, it still needs fixing and cannot develop a complete application. Therefore it can only partially take the role of a skilled engineer.

But who can say? AI is quickly developing. There will eventually be a model that can take the place of an entire software team.

Thanks for reading. Happy coding!