When will AI intelligence completely replace programmers in software development?

Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), mainly including the principle of computer intelligence, manufacturing computers similar to human brain intelligence, so that computers can achieve higher-level applications. AI will involve disciplines such as computer science, psychology, philosophy, and linguistics. It can be said that almost all disciplines of natural science and social science have far beyond the scope of computer science, and the relationship between artificial intelligence and thinking science is the relationship between practice and theory, and artificial intelligence is at the level of technical application of thinking science, which is a branch of its application.

From the point of view of thinking, artificial intelligence is not limited to logical thinking, to consider image thinking, inspired thinking in order to promote the breakthrough development of artificial intelligence, mathematics is often regarded as the basic science of a variety of disciplines, mathematics has also entered the field of language and thinking, artificial intelligence disciplines must also borrow mathematical tools, mathematics not only plays a role in the scope of standard logic, fuzzy mathematics, etc., mathematics into the discipline of artificial intelligence, they will promote each other and develop faster.

It is unlikely that programmers will be completely replaced by AI.

Currently, AI can help programmers automatically generate, analyze, and uncover potential problems and accomplish simple tasks by simulating human programming. However, programmers still need to review and maintain the knowledge of the answers, and need to make judgments about the features and implementations.

Similarly, programmers need to have a deep understanding of the business and requirements in order to write meaningful **. As a result, programmers will need to continuously learn and evolve to adapt to this change and can improve their competitiveness through expertise in artificial intelligence and machine learning.

Career prospects and changes for programmers

Although programmers will not be completely replaced by artificial intelligence, with the development of artificial intelligence technology, the career prospects and changes of programmers are still worth thinking about. On the one hand, AI technology will change how programmers work and what they do. Programmers need to constantly learn and master new technologies and tools to adapt to new job demands and market demands.

On the other hand, AI technology will also bring new opportunities and challenges for programmers, for example, in areas such as the development and deployment of AI-based applications, data science, and analytics.

At the same time, programmers also need to pay attention to their own competitiveness and career development. With the development of artificial intelligence technology, Cheng Qinmeng needs to have more skills and knowledge, such as knowledge in areas such as machine learning, data science, cloud computing, containerization, etc. In addition, programmers need to continuously improve their soft skills, such as teamwork, communication, project management, etc.

AI is made up of machines with machine language, but AI does not surpass humans in writing programs, scrambling wheels do not quickly become independent of humans, and are able to create useful and practical ** that spans a few lines, which requires a certain level of intelligence, so AI cannot replace programmers in a short time.

AI is made up of machine-language machines, and they are no more competent than humans in writing programs, and AI is made up of machine-language machines, and they are not going to be more competent than humans in writing programs, instead, what is going to happen is that "computer programmers" will become "AI programmers". No one doubts that AI is getting better at programming every day. In fact, in the end, AI-powered tools will be much better than humans when it comes to coding.

But machines don't quickly become independent of humans and are able to create useful and practical ** that spans a few lines, which requires a certain level of intelligence that is close to the famous singularity.

1. Programmers no longer write by hand**. They already use a plethora of smart tools that allow them to automate the compilation work. That's what AI does:

It helps programmers. However, the future in which AI will be able to make all the right decisions needed to develop software from scratch or explain the business value of each feature is still very far away.

2. Conversely, most new AI tools use machine learning to improve their accuracy and performance. With a wide range of trial-and-error keying, their neural network architecture can help them become better and more precise when automating tasks. That's where they are better than humans :

Find bugs and fix them. But they are not, and probably will never be, autonomous, with their own "opinions" on which is the best way to solve a problem or generate a new feature.

3. Eventually, humans will be freed from the work of "programmers" and will simply learn how to "centralize" their machine learning tools to assist them more effectively. Since AI will automate complex tasks that previously required very much expertise, developers will have more time to focus on the more "human" aspects of their work. It's always up to be a human to fill in the gaps that machines will never lack, to explore new bold solutions to known problems, or simply to push their creativity to the limit.

It is possible that the reason why I say this is mainly based on the following reasons:

First of all, with the continuous development of artificial intelligence technology such as chat gpt, it has been given a certain ability to write simple, with further improvement, then many underlying programmers are likely to change, chat gpt replaced, although we used to think that artificial intelligence replaced more industries are some industrial production fields, but in terms of software programming and design, there have been signs of being replaced by chatgp t, but many people are unprepared for this, And many people think that the importance of ChatGPT is that it marks the official entry of artificial intelligence from analyst AI to the generative AI stage, on this basis, the massive training and rapid iteration based on natural language models can play a corresponding role in the process of **generation**prompt fault diagnosis, automatic testing and other links, and can have a strong reputation of **generation ability, to achieve the completion of simple tasks**programming, which will naturally have a great impact on the employment of the underlying programmers.

Therefore, for most of the underlying programmers, if they don't want to be replaced by chat gpt one day in the future and don't want to lose their jobs, then they need to further improve themselves and continuously improve their technical gold content and irreplaceability, so that they will not be eliminated by the industry in the case of the further development of artificial intelligence such as chatgpt.

It is possible that the reason why I say this is mainly based on the following reasons:

First of all, with the continuous development of artificial intelligence technology such as chat gpt, it has been given a certain ability to write simple, with further improvement, then many underlying programmers are likely to change, chat gpt replaced, although we used to think that artificial intelligence replaced more industries are some industrial production fields, but in terms of software programming and design, there have been signs of being replaced by chatgp t, but many people are unprepared for this, And many people think that the importance of ChatGPT is that it marks the official entry of artificial intelligence from analyst AI to the generative AI stage, on this basis, the massive training and rapid iteration based on natural language models can play a corresponding role in the process of **generation**prompt fault diagnosis, automatic testing and other links, and can have a strong reputation of **generation ability, to achieve the completion of simple tasks**programming, which will naturally have a great impact on the employment of the underlying programmers.

Therefore, for most of the underlying programmers, if they don't want to be replaced by chat gpt one day in the future and don't want to lose their jobs, then they need to further improve themselves and continuously improve their technical gold content and irreplaceability, so that they will not be eliminated by the industry in the case of the further development of artificial intelligence such as chatgpt.

ChatGPT is only artificial AI intelligence, and it still cannot replace human thinking, so it is impossible to cause unemployment among low-level programmers. Just like many intelligent robots created now, can completely replace human life? Obviously unrealistic.

1: A lot of things have to be manipulated by people, and that's the value of programmers.

We often mention the idiom value for money in our lives, and the value of a programmer is to provide services for the development of the company. No matter how advanced artificial intelligence is, it is impossible to completely replace humans. What's more, if a large number of programmers lose their jobs, it will cause a continuous loss of a large number of talents.

2: High-end operational intelligence cannot replace humans, it is all the same.

If you want to use what you have learned to make a system or something like that, it is useless to rely on artificial intelligence. No matter how high-end the operation is, it can never replace humans, which is like the boss wants to save costs, and it is a nature to buy a large number of machines to replace humans. We often make mistakes when we are human, let alone intelligent machines.

3: Even if this company is not good, programmers can switch jobs to other companies.

It's not that you'll stay in a company for a long time, maybe because you're a programmer at the bottom, so the boss fires you out in order to exclude dissidents. This company can't, can't you go to other companies? Things are dead, but people are alive.

Other companies don't have artificial intelligence, and you can still mix and thrive.

4: There will be no unemployment, but there will be competition, often by means of salary cuts and other means.

No matter how common artificial intelligence is, it won't let you all get out, but there will be competition, which is the basic law of survival in nature. If you don't want to do it, you may be forced to leave voluntarily through means such as salary cuts.

Personally, I think that with the continuous development of manual skills and other dismantling GPT technology, it is still very likely that the programmers of the bottom liquid layer will lose their jobs, and the reason why I say this is mainly based on the following reasons:

First of all, with the continuous development of artificial intelligence technology such as chat gpt, it has been given a certain ability to write simple, with further improvement, then many underlying programmers are likely to change, chat gpt replaced, although we used to think that artificial intelligence replaced more industries are some industrial production fields, but in terms of software programming and design, there have been signs of being replaced by chatgp t, but many people are unprepared for this, And many people think that the importance of ChatGPT is that it marks the official entry of artificial intelligence from analyst AI to the generative AI stage, on this basis, the massive training and rapid iteration based on natural language models can play a corresponding role in the process of **generation**prompt fault diagnosis, automatic testing and other links, which can have a strong **generation ability, and realize the completion of simple tasks**programming, which will naturally have a great impact on the employment of the underlying programmers.

Therefore, for most of the underlying programmers, if one day they don't want to be replaced by chat gpt and don't want to lose their jobs, then they need to further improve themselves and continuously improve their technical gold content and irreplaceability, so that in the case of the further development of chatgpt and other artificial intelligence, they will not be eliminated by the industry, otherwise they will either accept the fate of being eliminated, or choose to switch to a new industry. But this also has a lot of uncertainty for themselves, after all, the emergence of ChatGPT has further compressed people's employment space and range of choices.