Battle of Minds: ChatGPT vs. Real Programmer!

Table of Contents

1. Introduction
2. The Rise of Artificial Intelligence
3. AI in Performing Complex Tasks
4. AI in Writing Code
5. Challenge 1: Writing a Vector Implementation
6. Challenge 2: Encrypting and Decrypting Images
7. Challenge 3: Creating a Functional Game
8. AI vs Human: Who is the Better Programmer?
9. Conclusion

Introduction

Over the past few years, artificial intelligence (AI) has become increasingly complex and capable of performing more and more difficult tasks. AI has made significant advancements in various areas, including generating images, voices, and even music. With sophisticated language models like Chachi BT and Bing chat, AI is now capable of generating code. As a programmer, I started Wondering if AI can beat me when it comes to writing code. To find out, I have created three programming challenges that both AI and I will be tackling. In this article, we will explore these challenges and compare the AI-generated code with my own.

The Rise of Artificial Intelligence

In recent years, the field of artificial intelligence has experienced rapid progress. AI has evolved from simple algorithms to sophisticated large language models like Chachi BT and Bing chat. These language models have paved the way for AI to generate code, opening up new possibilities for automation and assistance in programming tasks.

AI in Performing Complex Tasks

AI has proven its capabilities in various tasks, leaving virtually no area of human expression untouched. From generating images and voices to composing music, AI has shown its potential to replicate human-like performance in different creative domains. With the advancements in language models, AI can now even generate code, raising questions about its programming abilities compared to human programmers.

AI in Writing Code

As a programmer, I have embarked on a Journey to determine if AI can outperform me in writing code. To assess this, I have created three programming challenges that both AI and I will tackle. These challenges will test the AI's ability to generate functioning programs and compare the code it produces with my own.

Challenge 1: Writing a Vector Implementation

The first challenge is to write a vector implementation, which is a data structure that allows for a dynamically changing array. While programming in languages like C++, which already have built-in vector implementations, I chose to write this challenge in plain C++ for simplicity. After completing the challenge, we will examine both the AI-generated code and mine to compare their efficiency and conciseness.

Challenge 2: Encrypting and Decrypting Images

For the Second challenge, we will shift gears and focus on image encryption and decryption. This time, we will be using Python instead of C++. When providing the prompt to the AI, it resorted to using a cryptography library to accomplish the task. However, to ensure a fair comparison, I asked the AI to rewrite the program without relying on external libraries. We will examine both the AI-generated program and my own, evaluating their functionality and convenience.

Challenge 3: Creating a Functional Game

In the final challenge, we aim to develop a fully functional game. The objective of the game is to remain alive by shooting enemies that spawn from each side of the screen. The AI was given a detailed prompt to Create the game, and I approached the challenge with simplicity in mind. We will compare the AI-generated game code with mine, analyzing the level of detail and functionality achieved.

AI vs Human: Who is the Better Programmer?

After completing all three challenges, it is time to determine who is the better programmer: the AI or me, a human programmer. We will compare the efficiency, conciseness, and functionality of the code generated by the AI with my own. Each challenge will be evaluated individually, considering the strengths and weaknesses of both approaches. Ultimately, we will reflect on the role of AI in programming and appreciate its potential to automate certain aspects of the development process.

Conclusion

In this article, we explored the capabilities of artificial intelligence in programming tasks. Through three challenges, we compared the AI-generated code with code written by a human programmer. AI has demonstrated its potential in assisting with simpler algorithms and generating code that is both concise and efficient. However, when it comes to more complex tasks and detailed programming, the human programmer still holds the upper HAND. It is crucial to leverage the strengths of AI while appreciating the unique skills and creativity that humans bring to the field of programming. With further advancements in AI, the collaboration between AI and human programmers will Continue to Shape the future of software development.

Highlights

• Artificial intelligence (AI) has become increasingly complex and capable in recent years.
• AI can generate code and perform complex tasks such as image encryption and decryption.
• Three programming challenges were created to compare AI-generated code with code written by a human programmer.
• AI shows potential in assisting with simpler algorithms but struggles with more complex tasks.
• The collaboration between AI and human programmers is crucial for future advancements in software development.

FAQ

Q: Can AI completely replace human programmers? A: While AI has shown impressive capabilities in programming tasks, it is unlikely to completely replace human programmers. Human programmers bring creativity, problem-solving skills, and a deep understanding of context that AI may struggle to replicate.

Q: What are the advantages of using AI in programming? A: AI can automate certain aspects of programming, assist with simpler algorithms, and generate efficient and concise code. It has the potential to speed up development processes and enable programmers to focus on more complex tasks.

Q: What are the limitations of AI in programming? A: AI may struggle with tasks that require deep understanding of context, complex decision-making, and creativity. It can also be challenging for AI to handle edge cases and unexpected scenarios that human programmers can address more effectively.

Q: How can AI and human programmers collaborate effectively? A: AI can be utilized as a tool to assist human programmers in automating repetitive tasks, generating initial code structures, and providing suggestions. Human programmers can then utilize their expertise to refine and enhance the code generated by AI, ensuring it meets the specific requirements and objectives of the project.