One of the Agent design patterns: Prompt chaining

from  openai  import  OpenAIfrom  datetime  import  datetimeimport  jsonfrom  typing  import  List ,  Dict ,  Callableimport  osimport  re
# I use Gemini, you can also switch to Qwen  client = OpenAI(    api_key= "Replace with your api_key" ,    base_url= "https://generativelanguage.googleapis.com/v1beta/")
# Modify the configuration name of the model as needed  llm_name =  'gemini-2.0-flash'
# Large model calling method  def  call_llm ( user_prompt, system_prompt= "" ):    messages = [{ "role" :  "system" ,  "content" : system_prompt}]    messages.append({ "role" :  "user" ,  "content" : user_prompt})    response= client.chat.completions.create(        model=llm_name,        messages=messages    )    return  response.choices[ 0 ].message.content

# prompts is a list, each prompt represents a subtask def prompt_chaining(input:str ,prompts:List[str]) ->str: result = input for i,prompt in enumerate(prompts,1): print(f"\nStep {i}:") # The result of the previous step is appended to the prompt of this subtask as the input for this step, and so on. result = call_llm(f"{prompt}\n{result}") print(result) return result

# Argumentative essay topics  topic  =  "Learning programming is even more important in the era of artificial intelligence"
# Write an argumentative essay in three subtasks  writing_sub_task_prompts  = [    """    Please write an outline for an argumentative essay based on the following topic:    Include an introduction, 3 to 5 arguments, and a conclusion.    Each argument is accompanied by a brief explanation or supporting evidence.    The topics are as follows:    """,    """    Please write a complete argumentative essay based on the following outline.    The language should be fluent, the logic should be clear, and the arguments should be sufficient.    Each paragraph is developed around the outline content.    The word count is about 1,000 words.    The outline is as follows:    """,    """    Please polish the following argumentative essay in its entirety, including grammar checking, word optimization and sentence structure adjustment.    The language of the article is natural and fluent, the logic is clear, the expression is vivid and concise, avoiding the stiff and stereotyped AI style, and keeping the original point of view unchanged.    The full text is as follows:    """]
# Implemented via prompt_chaining  response  = prompt_chaining(topic, writing_sub_task_prompts)

Step 1:## Outline of argumentative essay: Learning programming is even more important in the era of artificial intelligence**Topic:** Learning programming is even more important in the era of artificial intelligence**Central argument:** In the era of rapid development of artificial intelligence technology, learning programming is not only not an outdated choice, but has become more important. It can help us better understand, control and adapt to the future society and work. **I. Introduction*** **Hook:** (For example: quote Bill Gates' famous saying, or describe a scenario where AI applications change life) In today's society, artificial intelligence (AI) is penetrating into every aspect of our lives at an astonishing speed, from smart assistants to autonomous driving, all of which show the great potential of AI. * **Background introduction:** Briefly introduce the current status and future trends of AI development. AI technology is no longer limited to laboratories, but is widely used in all walks of life and is changing our work and lifestyle. * **Controversy point introduction:** Some people believe that the popularization of AI will replace the jobs of many programmers, and learning programming will no longer be necessary. But the opposite is true. * **Central argument (clearly expressed):** In the era of artificial intelligence, learning programming is not only not an outdated choice, but has become more important. It can help us better understand, control and adapt to the future society and work. **II. Argument 1: Cultivate logical thinking and problem-solving skills*** **Argumentation:** The core of programming is logical thinking and problem-solving skills, which are crucial in any field, even if you will not directly engage in programming in the future. * **Argument/Explanation:** * Programming requires breaking down complex problems into executable steps, training people's analytical ability and systematic thinking. * The debugging process in the programming process exercises patience and perseverance in solving problems. * Logical thinking and problem-solving skills can be applied to various scenarios in life and work, such as: decision-making, project management, innovative thinking, etc. * **Supplementary explanation (optional):** You can give an example of a person in a non-IT field who improved his work efficiency or solved a practical problem by learning programming. **III. Thesis 2: Enhance the understanding and control of artificial intelligence*** **Thesis explanation:** Learning programming can help us better understand the principles and mechanisms of artificial intelligence, so as to better use AI tools and avoid being replaced by AI. * **Argument/Explanation:** * The underlying logic of AI technology is code. Understanding the code can help us understand how AI works, such as machine learning algorithms, neural networks, etc. * Mastering programming skills allows us to customize AI tools to meet personalized needs, rather than just passively using ready-made AI products. * Understanding the limitations of AI and avoiding blind reliance on AI can better combine human creativity and judgment with the computing power of AI. * **Supplementary explanation (optional):** Examples can be given to illustrate how people who understand the underlying principles of AI can better use AI tools to improve efficiency at work. **IV. Thesis 3: Create more employment opportunities and development directions*** **Thesis explanation:** The development of artificial intelligence is inseparable from programmers. Learning programming will create more AI-related employment opportunities and open up new directions for personal career development. * **Argument/Explanation:** * AI-related industries need a large number of programmers to develop, maintain and improve AI systems, such as AI engineers, data scientists, machine learning engineers, etc. * Even traditional industries need programmers to apply AI technology to business processes, such as smart manufacturing, smart healthcare, financial technology, etc. * Learning programming can allow us to participate in the innovation and development of AI and start our own business, such as developing AI applications, providing AI solutions, etc. * **Supplementary explanation (optional):** You can list some popular professions and emerging industries related to AI. **V. Thesis 4 (optional, supplement to thesis 3): Improve interdisciplinary cooperation and innovation capabilities*** **Argumentation:** Programming skills have become an important bridge for interdisciplinary cooperation and can promote the integration and innovation of knowledge in different fields. * **Argument/Explanation:** * Programming skills enable non-computer professionals to participate in scientific and technological projects and communicate and collaborate effectively with programmers. * Combining their own professional knowledge and programming skills, they can develop unique applications to solve problems in specific fields, such as bioinformatics, computational linguistics, etc. * Programming thinking can inspire innovative inspiration and promote interdisciplinary knowledge integration and innovation. **VI. Conclusion*** **Conclusion:** In summary, in the era of artificial intelligence, the importance of learning programming has not only not decreased, but has become increasingly prominent. * **Reiterate the central argument:** Learning programming can not only cultivate logical thinking and problem-solving skills, but also enhance the understanding and control of AI, create more employment opportunities, and promote interdisciplinary cooperation and innovation. * **Looking to the future:** Mastering programming skills will become a core competitiveness in the future society, helping us better adapt to and lead the development of the era of artificial intelligence. * **Appeal/Call to Action:** We should encourage more people to learn programming, embrace the opportunities brought by artificial intelligence, and create a better future together. Step 2:## Learn programming in the era of artificial intelligence In today's society, artificial intelligence (AI) is penetrating into every aspect of our lives at an astonishing rate, from smart assistants to autonomous driving, all of which show the great potential of AI. AI technology is no longer limited to laboratories, but is widely used in all walks of life and is changing our work and lifestyle. Some people believe that the popularity of AI will replace the jobs of many programmers, and learning programming will no longer be necessary. But the opposite is true. As Bill Gates said, "Learning programming can expand your mind, help you think better, and will be helpful in all fields." In the era of artificial intelligence, learning programming is not only not an outdated choice, but has become more important. It can help us better understand, control and adapt to the future society and work. First of all, the core of learning programming is to cultivate logical thinking and problem-solving skills. These abilities are crucial in any field, and even if you don't directly engage in programming in the future, you can benefit a lot. Programming requires us to break down complex problems into a series of executable steps, which is undoubtedly an excellent training of analytical ability and systematic thinking. For example, a simple program may require you to think about how data is input, how it is processed, how it is output, and how to deal with various abnormal situations. This process forces us to conduct rigorous logical reasoning to ensure that every step is accurate. In addition, errors (bugs) will inevitably be encountered during the programming process, and the debugging process greatly exercises our patience and perseverance in solving problems. We need to constantly analyze the code, find errors, and try different solutions before we can successfully fix the bugs. This problem-solving experience is not only applicable to the field of programming, but also to various scenarios in life and work, such as decision-making, project management, and innovative thinking. Imagine that if a salesperson has a certain programming mindset, he can analyze customer data more effectively and develop more accurate sales strategies, thereby improving work efficiency. Therefore, no matter what industry you are in, logical thinking and problem-solving skills are our valuable assets to stand in society, and programming is an effective way to cultivate these abilities. Secondly, learning programming can enhance our understanding and control of artificial intelligence. Artificial intelligence is not a mysterious black box, but it hides complex algorithms and codes. Learning programming can help us unveil the veil of AI and better understand the principles and mechanisms of artificial intelligence, so as to better use AI tools and avoid being replaced by AI. The underlying logic of AI technology is code. Understanding code can help us understand how AI works, such as machine learning algorithms, neural networks, etc. When we understand the working principle of AI, we can better judge the scope and limitations of AI and avoid blindly relying on AI. Furthermore, mastering programming skills allows us to customize AI tools to meet personalized needs, rather than just passively using ready-made AI products. For example, if a marketer masters Python programming, he can use Python to write programs to automatically capture competitors' marketing data, analyze market trends, and thus develop more effective marketing strategies. On the contrary, if you don't understand programming, you can only rely on ready-made market analysis tools, which makes it difficult to conduct personalized analysis and optimization. Understanding the limitations of AI and avoiding blind reliance on AI can better combine human creativity and judgment with AI's computing power, realize human-computer collaboration, and create greater value. Thirdly, the development of artificial intelligence is inseparable from programmers. Learning programming will create more AI-related employment opportunities and open up new directions for personal career development. Some people worry that AI will replace programmers' jobs, but in fact, the booming development of AI has spawned a large number of AI-related jobs. AI-related industries need a large number of programmers to develop, maintain and improve AI systems, such as AI engineers, data scientists, machine learning engineers, etc. These positions require not only proficiency in programming technology, but also a deep understanding of AI algorithms and models. Even traditional industries need programmers to apply AI technology to business processes, such as smart manufacturing, smart healthcare, and financial technology. For example, in the field of smart manufacturing, programmers need to develop intelligent control systems to achieve automation and intelligence of production lines; in the field of smart healthcare, programmers need to develop AI-assisted diagnosis systems to help doctors improve diagnostic efficiency and accuracy. Learning programming allows us to participate in the innovation and development of AI and start our own business, such as developing AI applications and providing AI solutions. According to LinkedIn statistics, the demand for AI-related occupations is growing rapidly, such as AI engineers, machine learning engineers, and data scientists are all popular occupations. Therefore, learning programming will not only not be replaced by AI, but will enable us to seize the opportunities brought by AI and create a broader career development prospect. Furthermore, programming skills have become an important bridge for interdisciplinary cooperation, which can promote the integration and innovation of knowledge in different fields. In this highly interconnected era, interdisciplinary cooperation is becoming more and more important. Programming skills allow non-computer professionals to participate in scientific and technological projects and communicate and collaborate effectively with programmers. For example, if a biological researcher masters Python programming, he can use Python to write programs to analyze genetic data and discover new biomarkers, thereby accelerating the process of new drug development. Combining one's own professional knowledge and programming skills, unique applications can be developed to solve problems in specific fields, such as bioinformatics and computational linguistics. Programming thinking can inspire innovative inspiration and promote interdisciplinary knowledge integration and innovation. In summary, in the era of artificial intelligence, the importance of learning programming has not only not decreased, but has become increasingly prominent. Learning programming can not only cultivate logical thinking and problem-solving skills, but also enhance the understanding and control of AI, create more employment opportunities, and promote interdisciplinary cooperation and innovation. Mastering programming skills will become a core competitiveness of the future society, helping us better adapt to and lead the development of the era of artificial intelligence. We should encourage more people to learn programming, embrace the opportunities brought by artificial intelligence, and create a better future together. Starting from the basic programming language, step by step, continuous learning and practice, we can take the initiative in the era of artificial intelligence and create our own glory. Step 3:## In the era of artificial intelligence, it is even more important to master the key to programming. Artificial intelligence (AI) is penetrating into every aspect of our lives at an impressive speed, from smart assistants to autonomous driving, all of which demonstrate its huge potential. AI technology has long gone out of the laboratory and has been widely used in all walks of life, profoundly changing our work and lifestyle. Some people therefore believe that the popularity of AI will replace the work of programmers, and learning programming will no longer be necessary. However, the fact is just the opposite. As Bill Gates said: "Learning programming can expand your thinking, help you think better, and provide assistance in various fields." In the era of artificial intelligence, learning programming is not an outdated choice, but it is becoming more and more important. It can help us better understand, control and adapt to the future society and work. First of all, the core of learning programming is to cultivate rigorous logical thinking and efficient problem-solving skills. These abilities are crucial in any field, and even if you don't directly engage in programming in the future, you can benefit a lot from them. Programming requires us to break down complex problems into a series of executable steps, which is undoubtedly an excellent training for analytical ability and systematic thinking. For example, writing a simple program requires you to carefully think about the input, processing, and output methods of data, as well as the handling strategies for various abnormal situations. This process forces us to conduct rigorous logical reasoning to ensure that every step is accurate. In addition, errors (bugs) are inevitable in the programming process, and the debugging process greatly exercises our patience and perseverance in solving problems. We need to constantly analyze the code, find errors, and try different solutions before we can successfully fix the bugs. This problem-solving experience is not only applicable to the field of programming, but also to various scenarios in life and work, such as decision-making, project management, and innovative thinking. Imagine that a salesperson with programming thinking can analyze customer data more effectively and develop more accurate sales strategies, thereby significantly improving work efficiency. Therefore, no matter what industry you are in, logical thinking and problem-solving skills are our valuable assets in society, and programming is an effective way to cultivate these abilities. Secondly, learning programming can deepen our understanding of artificial intelligence and improve our ability to control it. Artificial intelligence is not a mysterious "black box", but behind it are complex algorithms and codes. Learning programming can help us uncover the mystery of AI, better understand the principles and mechanisms of artificial intelligence, and thus use AI tools more effectively and avoid being replaced by AI. The underlying logic of AI technology is code. Understanding code can help us understand how AI works, such as machine learning algorithms, neural networks, etc. When we understand the working principle of AI, we can better judge the scope and limitations of AI and avoid blind dependence. Furthermore, mastering programming skills allows us to customize AI tools to meet personalized needs, rather than just passively using ready-made AI products. For example, if a marketer masters Python programming, he can use Python to write programs to automatically capture competitors' marketing data, analyze market trends, and thus develop more effective marketing strategies. On the contrary, if you don't understand programming, you can only rely on ready-made market analysis tools, which makes it difficult to conduct personalized analysis and optimization. Only by understanding the limitations of AI and avoiding blind dependence can we better combine human creativity and judgment with the computing power of AI, realize human-computer collaboration, and create greater value. Thirdly, the development of artificial intelligence is inseparable from programmers. Learning programming will create more AI-related employment opportunities and open up new directions for personal career development. Although some people worry that AI will replace programmers' jobs, in fact, the booming development of AI has spawned a large number of AI-related jobs. AI-related industries need a large number of programmers to develop, maintain and improve AI systems, such as AI engineers, data scientists, machine learning engineers, etc. These positions require not only proficiency in programming technology, but also a deep understanding of AI algorithms and models. Even traditional industries need programmers to apply AI technology to business processes, such as smart manufacturing, smart healthcare, and financial technology. For example, in the field of smart manufacturing, programmers need to develop intelligent control systems to achieve automation and intelligence of production lines; in the field of smart healthcare, programmers need to develop AI-assisted diagnosis systems to help doctors improve diagnostic efficiency and accuracy. Learning programming allows us to participate in the innovation and development of AI and start our own business, such as developing AI applications and providing AI solutions. According to LinkedIn statistics, the demand for AI-related occupations is growing rapidly, such as AI engineers, machine learning engineers, and data scientists are all popular occupations. Therefore, learning programming will not only not be replaced by AI, but will enable us to seize the opportunities brought by AI and create a broader career development prospect. Furthermore, programming skills have become an important bridge for interdisciplinary cooperation, which can promote the integration and innovation of knowledge in different fields. In this highly interconnected era, interdisciplinary cooperation is becoming more and more important. Programming skills allow non-computer professionals to participate in scientific and technological projects and communicate and collaborate effectively with programmers. For example, if a biological researcher masters Python programming, he can use Python to write programs to analyze genetic data and discover new biomarkers, thereby accelerating the process of new drug development. Combining one's professional knowledge with programming skills can develop unique applications to solve problems in specific fields, such as bioinformatics and computational linguistics. Programming thinking can inspire innovative inspiration and promote interdisciplinary knowledge integration and innovation. In summary, in the era of artificial intelligence, the importance of learning programming has not decreased, but has become increasingly prominent. Learning programming can not only cultivate logical thinking and problem-solving skills, but also enhance the understanding and control of AI, create more employment opportunities, and promote interdisciplinary cooperation and innovation. Mastering programming skills will become a core competitiveness of the future society, helping us better adapt to and lead the development of the era of artificial intelligence. We should encourage more people to learn programming, embrace the opportunities brought by artificial intelligence, and create a better future together. Starting from the basic programming language, step by step, continuous learning and practice, we can take the initiative in the era of artificial intelligence and create our own glory.to solve problems in specific fields, such as bioinformatics, computational linguistics, etc. Programming thinking can inspire innovative inspiration and promote interdisciplinary knowledge integration and innovation. In summary, in the era of artificial intelligence, the importance of learning programming has not decreased, but has become increasingly prominent. Learning programming can not only cultivate logical thinking and problem-solving skills, but also enhance the understanding and control of AI, create more employment opportunities, and promote interdisciplinary cooperation and innovation. Mastering programming skills will become a core competitiveness in the future society, helping us better adapt to and lead the development of the era of artificial intelligence. We should encourage more people to learn programming, embrace the opportunities brought by artificial intelligence, and create a better future together. Starting from the basic programming language, step by step, continuous learning and practice, we can take the initiative in the era of artificial intelligence and create our own glory.to solve problems in specific fields, such as bioinformatics, computational linguistics, etc. Programming thinking can inspire innovative inspiration and promote interdisciplinary knowledge integration and innovation. In summary, in the era of artificial intelligence, the importance of learning programming has not decreased, but has become increasingly prominent. Learning programming can not only cultivate logical thinking and problem-solving skills, but also enhance the understanding and control of AI, create more employment opportunities, and promote interdisciplinary cooperation and innovation. Mastering programming skills will become a core competitiveness in the future society, helping us better adapt to and lead the development of the era of artificial intelligence. We should encourage more people to learn programming, embrace the opportunities brought by artificial intelligence, and create a better future together. Starting from the basic programming language, step by step, continuous learning and practice, we can take the initiative in the era of artificial intelligence and create our own glory.

topic = "Learning programming is even more important in the era of artificial intelligence"single_prompt = f""" Please write an argumentative essay based on the topic, the topic is {topic} Step 1: Write an outline, including an introduction, 3 to 5 arguments, and a conclusion. Each argument is accompanied by a brief explanation or argument. Step 2: Expand the paragraphs and write a complete argumentative essay based on the outline. The language should be fluent, the logic should be clear, and the arguments should be sufficient. Each paragraph should revolve around the content of the outline and the word count should be about 1,000 words. Step 3: Polish the entire argumentative essay, including grammar checking, word optimization, and sentence structure adjustment, so that the language of the article is natural and fluent, the logic is clear, the expression is vivid and concise, avoid the stiff and stereotyped AI style, and keep the original point of view unchanged."""response = call_llm(single_prompt)

## Step 1: Outline of the argumentative essay **Topic: Learning programming is even more important in the era of artificial intelligence*** **Introduction:** * Artificial intelligence (AI) is developing rapidly and has a profound impact on all aspects of society. * Traditional views may believe that the development of AI will reduce the need for programming, but the reality is just the opposite. * Clarify the central argument: In the era of artificial intelligence, learning programming is not only not outdated, but has become more important. * **Argument 1: Understand and master the foundation of AI technology** * Argument: AI is essentially a product of code, and understanding programming can help us better understand the underlying logic and working principles of AI. * Argument: Only by understanding how AI works can we better use AI tools and avoid being confused by its "black box" effect. * **Argument 2: Improve problem-solving and logical thinking skills** * Argument: Programming training cultivates rigorous logical thinking, abstract thinking, and problem decomposition capabilities, which are essential in any field. * Argument: When faced with complex AI applications, a programming background can help us better analyze problems, find solutions, and evaluate whether the answers given by AI are reasonable. * **Argument 3: Enhance innovation and creativity** * Argument: Programming is not just about writing code, but also a creative activity that can turn ideas into reality through programming. * Argument: In the AI ​​era, programmers can lead innovation by developing new AI applications, improving existing AI algorithms, and even creating new AI technologies through programming. * **Argument 4: Adapt to the future job market** * Argument: Even if AI can automatically complete some programming tasks, a large number of programmers are still needed to design, develop, maintain and improve AI systems. * Argument: The demand for talents with programming skills in the future job market will continue to grow, not only in the IT industry, but also in all walks of life. * **Conclusion:** * Summarize the above arguments and emphasize the importance of learning programming in the era of artificial intelligence. * Call on people to change their mindsets, actively learn programming, and embrace the opportunities and challenges brought by the era of artificial intelligence. ## Step 2: Extended paragraph of argumentative essay**Learn programming in the era of artificial intelligence**Artificial intelligence (AI) is developing at an astonishing speed, profoundly changing our lives, work and society. From self-driving cars to smart homes, from medical diagnosis to financial analysis, AI technology is everywhere. Faced with this wave of change, many people may think that as AI becomes more and more intelligent, the demand for programming will decrease, and even the profession of programmer will gradually disappear. However, this view is a misunderstanding. In fact, in the era of artificial intelligence, learning programming is not only not an outdated skill, but has become more important than ever. First of all, learning programming is the basis for understanding and mastering AI technology. AI is not a mysterious force. It is essentially a product of code and is driven by algorithms and models written by programmers. Understanding programming means understanding the underlying logic and working principles of AI. Only when we understand how AI thinks, learns, and makes decisions can we better use AI tools and avoid being confused by its "black box" effect. For example, in the financial field, AI can help us with risk assessment and investment decisions, but if we do not understand the limitations of AI algorithms, we may blindly trust AI's predictions, resulting in serious losses. Therefore, learning programming can help us look at AI more rationally and better use AI to serve us, rather than being controlled by AI. Secondly, learning programming can effectively improve problem-solving and logical thinking skills. Programming training is not just learning a language, but also a training of thinking methods. In the programming process, we need to break down complex problems into smaller, manageable parts, and then combine these parts with rigorous logic to finally find a solution. This rigorous logical thinking, abstract thinking, and problem decomposition ability are essential in any field. For example, in scientific research, we need to use logical thinking to analyze experimental data and build mathematical models; in business management, we need to use problem decomposition ability to develop strategic plans and solve operational problems. When faced with complex AI applications, a programming background can help us better analyze problems, find solutions, and evaluate whether the answers given by AI are reasonable. If we lack programming thinking, we may not be able to understand the results given by AI, or even find errors in them. Third, learning programming can enhance innovation and creativity. Programming is not just about writing code, but also a creative activity. Through programming, we can turn our ideas into reality and create new applications and services. In the AI ​​era, programmers can lead innovation by developing new AI applications, improving existing AI algorithms, and even creating new AI technologies through programming. For example, many AI creative applications that have emerged in recent years, such as AI painting, AI music, and AI writing, are all realized by programmers using programming technology. These applications have not only enriched our lives, but also promoted the development of AI technology. Therefore, learning programming can inspire our innovative spirit and make us more creative in the AI ​​era. Finally, learning programming can help us better adapt to the future job market. Although AI can automatically complete some programming tasks, such as automatic code generation and code debugging, a large number of programmers are still needed to design, develop, maintain and improve AI systems. The demand for talents with programming skills in the future job market will continue to grow, not only in the IT industry, but also infiltrate all walks of life. For example, in the medical industry, we need programmers to develop AI-assisted diagnosis systems; in the education industry, we need programmers to develop intelligent teaching platforms; in the manufacturing industry, we need programmers to develop automated production lines. Even if we are not engaged in pure programming work, mastering certain programming knowledge can help us better work with AI systems and improve work efficiency. Therefore, learning programming is an important step to meet future employment challenges. In summary, in the era of artificial intelligence, learning programming is not only not outdated, but has become more important. It is not only the basis for understanding and mastering AI technology, but also the key to improving problem-solving ability and logical thinking ability, enhancing innovation and creativity, and adapting to the future job market. We should change our mindset, actively learn programming, embrace the opportunities and challenges brought by the era of artificial intelligence, and become the masters of the AI ​​era, rather than being dominated by AI. ## Step 3: Polishing the Argumentative Essay**Learning Programming is More Important in the Age of Artificial Intelligence**Artificial intelligence (AI) is developing at an astonishing pace, profoundly changing our lives, work, and society. From self-driving cars to smart homes, from medical diagnosis to financial analysis, AI technology is everywhere. Faced with this wave of change, a common view is that as AI becomes increasingly intelligent, the demand for programming will decrease, and even the profession of programmers will gradually die out. However, this view is actually a misunderstanding. In the era of artificial intelligence, learning programming is not only not an outdated skill, but has become more important than ever before. First of all, mastering programming is the basis for understanding and mastering AI technology. AI is not some mysterious existence, but a product of code, driven by algorithms and models written by programmers. Understanding programming means understanding the underlying logic and operating principles of AI. Only by deeply understanding how AI thinks, learns, and makes decisions can we use AI tools more effectively and avoid being confused by its "black box" effect. For example, in the financial field, AI can assist us in risk assessment and investment decisions, but if we do not understand the limitations of AI algorithms and blindly trust their predictions, it may lead to serious losses. Therefore, learning programming can enable us to look at AI from a more rational perspective and better use AI to serve us rather than be controlled by it. Secondly, learning programming can effectively improve problem-solving and logical thinking abilities. Programming training is far more than learning a language, it is also a way of thinking. In the programming process, we need to break down complex problems into smaller, more manageable parts, and then integrate these parts with rigorous logic to finally find solutions. This kind of rigorous logical thinking, abstract thinking, and problem decomposition ability are crucial in any field. For example, in scientific research, we need to use logical thinking to analyze experimental data and establish mathematical models; in business management, we need to use problem decomposition capabilities to develop strategic plans and solve operational problems. In the face of complex AI applications, a programming background can help us analyze problems more effectively, find solutions, and evaluate whether the answers given by AI are reasonable. Without programming thinking, we may find it difficult to understand the results given by AI, or even fail to find errors in them. Third, learning programming can stimulate innovation and creativity. Programming is not simply writing code;Creative activities. Through programming, we can put our ideas into practice and create new applications and services. In the AI ​​era, programmers can lead innovation by developing new AI applications, improving existing AI algorithms, and even creating unprecedented AI technologies through programming. For example, a series of AI creative applications that have emerged in recent years, such as AI painting, AI music, AI writing, etc., are all realized by programmers using programming technology. These applications not only enrich our lives, but also promote the development of AI technology. Therefore, learning programming can inspire our innovative spirit and make us more creative in the AI ​​era. Finally, learning programming can help us better adapt to the future job market. Although AI can automatically complete some programming tasks, such as automatic code generation and code debugging, a large number of programmers are still needed to design, develop, maintain and improve AI systems. In the future, the demand for talents with programming skills in the job market will continue to grow, which is not limited to the IT industry, but will penetrate into all walks of life. For example, in the medical industry, we need programmers to develop AI-assisted diagnosis systems; in the education industry, we need programmers to develop intelligent teaching platforms; in the manufacturing industry, we need programmers to develop automated production lines. Even if we are not engaged in pure programming work, mastering certain programming knowledge can help us work better with AI systems and improve work efficiency. Therefore, learning programming is a key step to meet the challenges of future employment. In short, in the era of artificial intelligence, learning programming is not only not a redundant skill, but has become unprecedentedly important. It is the basis for understanding and mastering AI technology, and is a key factor in improving problem-solving and logical thinking abilities, stimulating innovation and creativity, and adapting to the future job market. We should change our mindset, actively embrace programming, seize the opportunities and challenges brought by the era of artificial intelligence, and become the masters of the AI ​​era, rather than being dominated by it.

Compare the following two argumentative essays to see which one is better: Argumentative essay 1: ********* Argumentative essay 2: *********