ChatGPT: Creating a Code of New Reality
11 min.

At Procoders, we are constantly monitoring and staying up-to-date with the latest advancements in technology, particularly in the field of artificial intelligence and machine learning. As a result, we have integrated ChatGPT into our workflow, allowing our developers to learn how to work with the technology, explore its capabilities and limitations, and gain valuable insights into its potential applications. 

In this article, we will share our experiences to show how developers can leverage these technologies to create a code of new reality and shape the future of our digital world.

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The Future of Programming Careers: Will Developers Write Code for Food?

As the world becomes increasingly automated, many people are left wondering about the future of jobs and careers. With artificial intelligence and machine learning on the rise, some may even wonder if developers will eventually be reduced to coding in exchange for basic necessities like food and shelter. 

While that would certainly make for an interesting career path, the reality is that it’s unlikely to happen anytime soon. Although automation has the potential to disrupt many industries, there will always be a need for skilled programmers who can create complex and sophisticated software. So, rest assured, fellow developers, we won’t be bartering code for food just yet!

In fact, as automation becomes more prevalent, the demand for programmers may actually increase. This is because automated systems require significant programming and development work in order to function properly. Furthermore, as the Internet of Things (IoT) continues to grow, there will be a need for developers who can create software that can interact with the wide range of connected devices that make up the IoT.

Another reason why it’s unlikely that developers will be reduced to writing code for food is that there is a significant amount of value in the work that they do. Developers create software that can improve productivity, enhance security, and drive innovation across a wide range of industries. As such, it’s unlikely that their work will ever be devalued to the point where they are forced to work for basic necessities.

What is Prompt Engineering? 

Prompt Engineering is a technique used in Artificial Intelligence, specifically in Natural Language Processing (NLP). It helps computers understand what people are asking or what they want the computer to do by embedding the task or question in the input, like a prompt.

It’s like when you ask Siri or Google Assistant a question, and they give you an answer. With Prompt Engineering, the computer is trained to understand and respond to specific prompts or questions.

Scientists and developers have been working on improving this technology, and they use large language models to do this. Some models can even generate images based on the prompts they receive!

However, there is also a downside to Prompt Engineering. People with bad intentions can use it to trick or hack into AI systems, which is called “prompt injection.” This can be a big problem, and experts are working on ways to protect against it.

Prompt Engineering

The Rules of Prompt Hero  

These rules are guidelines that can help individuals effectively use Prompt Engineering techniques to communicate with AI systems. Here’s a breakdown of each rule:

  • Be concrete and detailed as much as possible: When giving a prompt or instruction, it’s important to be as specific and detailed as possible. This helps the AI system understand exactly what you want it to do.
  • State your wishes consistently: Consistency is key when communicating with AI systems. Make sure to state your wishes or instructions in a clear and consistent manner, so the system can better understand what you want.
  • Split your ideas to simple sentences: Complex sentences and ideas can be difficult for AI systems to understand. Splitting your ideas into simple sentences can make it easier for the system to comprehend your instructions.
  • Structure your prompt using simple words: Using simple words and avoiding technical jargon can also help make your prompts more understandable to AI systems.
  • Use “must” when you need it: Using “must” in your prompts can help convey a sense of importance or urgency, and can help the AI system prioritize your request.
  • Don’t philosophize: When communicating with AI systems, it’s best to be specific and avoid philosophical concepts – unless you want to stump the AI and get a good laugh out of it! But if you’re looking for results, keep your instructions clear and your goals concrete, and your AI assistant will stay focused on the task at hand.

Following these rules can help individuals effectively use Prompt Engineering to communicate with AI systems, and can help ensure that the systems better understand and respond to their requests.

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Useful Key Phrases to Work With AI

As the field of artificial intelligence and machine learning continues to grow, it’s becoming increasingly important for programmers and developers to communicate effectively with these systems. In order to optimize performance, improve security, and utilize popular libraries, it’s important to use the right key phrases when working with AI.

Our developers at ProCoders have found that using the following key phrases when working with AI has been incredibly helpful:

  • Make it better: This phrase can be used to request that AI systems optimize performance and utilize best practices when executing code. It can be helpful when a developer wants to improve the efficiency of their code or make sure it is running as effectively as possible.
  • More secure: With cyber threats becoming more prevalent, it’s essential that developers prioritize security when working with AI systems. By using this phrase, developers can request that the AI system take steps to make their code more secure, such as implementing encryption or authentication protocols.
  • Use libraries: Popular libraries can be a valuable resource for developers, as they can save time and ensure that their code is optimized for efficiency and functionality. By using this phrase, developers can request that the AI system utilize popular npm libraries to improve their code.
  • Using async/await: Asynchronous programming can be complex, but by using this feature, developers can ensure that their code runs more smoothly and efficiently, leading to better performance and a better user experience. This phrase can be helpful when a developer wants to make their code more efficient and optimize its performance.

‌Getting Ahead of the Game: How to Tackle Common AI Coding Bottlenecks

As the use of AI in programming becomes more prevalent, many developers have started to face some common bottlenecks when writing code with AI. These issues can be frustrating and time-consuming, but fortunately, there are several solutions that developers can use to overcome them. Our developers also face such challenges, but we have identified several solutions to overcome them.

  • Interrupting: One common issue that developers face when using AI to write code is being interrupted in the middle of the process. This can be especially frustrating if a developer needs to go back and revise a previous section of code. To address this, developers can use the phrase “show from after line <…>” to instruct the AI to pick up where it left off.
  • Red errors: Another issue that developers may encounter is red errors or issues that arise during the coding process. To address this, developers can use the Ctrl+C / Ctrl+V command to save the prompt to the buffer and then refresh the prompt to clear the errors.
  • Deprecated libraries: Another common issue is the use of deprecated libraries, which can cause errors and other issues in the code. To address this, AI systems can suggest updated versions of libraries that are still supported and compatible with the code.
  • Lost some part of the code: In some cases, developers may forget a portion of the code or need to regenerate a section that has been lost. To address this, developers can use the phrase “you forget <…> please regenerate” to instruct the AI to fill in the missing section.
  • Huge code: Finally, writing a large amount of code can be overwhelming and difficult to manage. To address this, developers can refactor their code into smaller, more manageable files.‌

By utilizing these solutions, developers can work more efficiently and effectively with AI systems, leading to better results and more successful projects.

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Revolutionizing Software Development: How AI is Improving Efficiency and Quality

‌We at Procoders have seen a significant increase in efficiency when using AI for coding the following instances:

X8 faster to solve small issues, especially DevOps

One way AI can improve the speed of solving small issues is by automating repetitive tasks and processes, allowing developers to focus on more complex issues that require human intervention. This can help to reduce the time spent on minor issues and enable developers to work more efficiently.

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X12 for small scripts with unknown libs

In terms of small scripts with unknown libraries, AI can be particularly useful for identifying and resolving compatibility issues. By analyzing code and identifying patterns, AI can help developers to quickly identify the root cause of issues and recommend solutions. This can help to reduce the time spent on debugging and improve the speed and efficiency of software development.

100% It’s a new God of WordPress

When it comes to WordPress development, AI can help improve website performance, user experience, and security. For example, AI-powered tools can analyze website data to identify areas for improvement, such as slow loading times or high bounce rates. This information can then be used to optimize website performance and improve the overall user experience.

In addition, AI can be used to improve website security by identifying and mitigating potential vulnerabilities. By analyzing website code and user behaviour, AI can detect and prevent common attacks such as SQL injections and cross-site scripting.

Unlocking the Addictive Potential of AI: Why ChatGPT Keeps Users Coming Back

‌Firstly, the technology behind ChatGPT allows for highly personalized and engaging interactions, which can be very compelling for users. The ability of ChatGPT to understand and respond to natural language prompts makes it feel more like a conversation with a human, rather than a robotic system.

Additionally, ChatGPT has a vast amount of knowledge and information at its disposal, making it addictive for users looking for quick answers or wanting to learn more about a specific topic. Previously, developers used Stack Overflow to find answers but had to carefully word their questions to search for similar answers. With ChatGPT, users receive personalized responses tailored to their specific needs.

Finally, the fact that ChatGPT is available 24/7 and can be accessed from anywhere in the world means that users can engage with the system at any time and from any location. This accessibility and convenience can make it easier for users to become engrossed in the system and spend more time interacting with it.

ChatGPT is available

Navigating the Future of Work: Examining the Potential Impact of AI on Jobs for Developers

The question of whether or not AI and models like ChatGPT will lead to job loss for developers is a complex one. While these technologies have the potential to automate certain aspects of software development, it’s important to remember that they are not a replacement for human expertise.

The extent to which AI and ChatGPT will impact the job market for developers will depend on several factors, including the rate of technological advancement and the willingness of companies to adopt these technologies. Some experts predict that AI and automation may lead to job loss in certain sectors, while others suggest that they may create new job opportunities in emerging areas such as AI development and data science.

Ultimately, the ability of the workforce to adapt and acquire new skills will be a key factor in determining the impact of AI on jobs for developers. As technology continues to evolve, it’s important for developers to stay up-to-date with the latest trends and tools in order to remain competitive in the job market. This may involve acquiring new skills and expertise in emerging areas such as machine learning and data science, or focusing on areas of software development that are less likely to be impacted by automation. This is precisely what do at ProСoders, by providing our team with ongoing training and development opportunities to ensure they stay ahead of the curve in this rapidly changing industry.

AI Limitations: Understanding Complex Emotions and Ambiguity

But, despite its impressive capabilities, AI still has several weaknesses and limitations that need to be addressed.

One area where AI struggles is in dealing with complex human ideas and emotions. While AI can analyze vast amounts of data and provide insights into human behavior, it can still struggle to interpret and understand complex emotions and ideas in the same way that humans do. For example, while AI may be able to detect a person’s mood based on their facial expression, it may struggle to understand the underlying reasons for that mood.

Another area where AI can struggle is in dealing with ambiguity and uncertainty. While AI is excellent at processing and analyzing large amounts of data, it can struggle when faced with incomplete or contradictory information. This can be particularly problematic in situations where decisions need to be made quickly, such as in emergency situations or critical business decisions.

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Can ChatGPT write code for an app?

Yes, ChatGPT can help generate code snippets for specific tasks, but it may require manual refinement for a fully functional app.

How do I add codes to ChatGPT?

You cannot directly add codes to ChatGPT, but you can provide code examples and ask questions or for help regarding specific code-related tasks.

How do I create a website using ChatGPT?

ChatGPT can assist with generating website content, suggesting design ideas, or providing code snippets, but creating a website requires additional tools and skills like HTML, CSS, JavaScript, and a web hosting service.

Can ChatGPT help debug my code?

Yes, ChatGPT can help identify issues in your code, but it might not catch every error or provide the most efficient solutions.

Can ChatGPT suggest improvements for my app’s UI/UX?

Yes, ChatGPT can offer suggestions for UI/UX improvements, but it’s essential to consider user feedback and testing for optimal results.

Can ChatGPT assist with database design for my app?

Yes, ChatGPT can provide general guidance on database design, but for best results, consult with a database expert or follow established best practices.


Artificial intelligence and machine learning are rapidly transforming the world of software development, paving the way for a new reality. While AI has the potential to improve efficiency, quality, and security, it also has several weaknesses and limitations that need to be addressed. The impact of AI on the job market for developers will depend on various factors, including the rate of technological advancement and the willingness of companies to adopt these technologies. Developers can stay ahead of the game by utilizing the latest AI tools and techniques, while also adapting and acquiring new skills in emerging areas. As the future unfolds, it’s important to remain open to the possibilities that AI and machine learning can offer while also being mindful of their limitations.

At ProCoders, our skilled team has extensive experience in leveraging AI and machine learning technologies to enhance the development process and create cutting-edge digital solutions. By utilizing these advanced tools, we can build more engaging and personalized experiences for users, keeping your project at the forefront of the industry. Trust ProCoders to harness the power of AI and machine learning to deliver innovative solutions tailored to your specific needs.

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