ChatGPT's single-month visits hit a new high
According to SimilarWeb statistics, ChatGPT had 1.76 billion global visits last month, surpassing Bing, DuckDuckGo and other international search engines, and reaching 2% of Google and 60% of Baidu.
This time, the joke about the programmer being unemployed has to be repeated again:
When dragging and building the station, they said that programmers would lose their jobs;
Low code came out, they said programmers would lose their jobs;
Copilot came out and they said programmers would lose their jobs;
Now that Chatgpt is on fire, they say that programmers will lose their jobs.
Why are programmers hated so much? Why is it that not being unemployed is not enough to thank the world?
Regarding the response to the online "GPT-4 programmer destruction roadmap, how many programmers can ChatGPT replace", it is all shit, no one handed over the paper , it is more of a war of words, and there is no development suggestion at all.
In the era of digital intelligence, AI replaces people?
AI has always existed, but there is much thunder and little rain. Of course, there are many cases where technological progress has led to the demise of a career, but "AI substitution" seems to be extremely far away. So many people are desperately promoting ChatGPT. For the software industry and software development model, whether it will be a disruptive innovation or just a flash in the pan requires long-term observation.
But in the short term, I don't think GPT will make the profession of programmers die, and even the number of programmers will increase further. Because programmers are a relatively comprehensive profession, the demand for software development will continue to grow, and the experience and quality of existing software on the market are not ideal, and even a large amount of software needs to be rebuilt.
But whether it is the popularity of low-code, or AI is getting smarter, there are two types of talents that are the most popular:
First, technically savvy business personnel
Second, technical personnel who understand business
How ChatGPT sees low code
Can low code work? Will the scene be limited? To what extent can it be achieved? Can it make me no longer depend on development? Will it support my ambitions? So I decided to ask ChatGPT humbly.
ChatGPT supports rich languages and frameworks, and can assist developers to generate fragmented codes, but it is difficult to build complete applications. Low-code platforms are more suitable for non-professional developers and professional developers to build complete applications, but obviously, the world of chatGPT does not understand low-code.
Looking back at the original intention of low-code research and development, it is to lower the technical threshold of program development, so that business personnel who do not understand programming can also acquire programming ability in a curve. But if AI can replace programmers, will low-code itself face refactoring?
The programming language itself is constantly improving, and for rookie developers, it requires a high learning cost. But low-code platforms naturally have full-stack development capabilities, and low-code programmers are naturally full-stack programmers.
Here I highly recommend everyone to try the JNPF rapid development platform, which relies on the principle of low-code development technology. Therefore, it is different from the pain points of traditional development delivery cycle, difficult secondary development, and high technical threshold. JNPF provides a wealth of solutions and solutions in the background. Functional modules, most of the application construction is realized by dragging and dropping controls, which is simple and easy to use, and the OA system is used to build in JNPF, and the work response speed is faster. It can build a one-stop production management system, project management system, invoicing management system, OA office system, personnel and finance, etc.
Open source link: https://www.yinmaisoft.com/?from=csdn
ChatGPT × low code development
Now most programmers are divided according to the technology stack they have mastered, such as Web, server, iOS, Android, algorithm development and data development, etc., resulting in a small software requiring several people, since GPT allows switching The tech stack just got so much easier.
It allows ChatGPT developers to provide a convenient API interface, which is open and customizable. The existing low-code development platform only needs to call the API interface, and it can make the development threshold of low-code one step lower and the degree of intelligence is higher. One step can be called: one small step for AI, one big step for low-code development.
The digital transformation of enterprises has brought about massive program development needs, but the existing programmer reserves and traditional development models cannot meet the transformation needs, so we must turn to low-code development platforms with lower thresholds.
Using ChatGPT can take low-code development to the next level. It can help build higher quality applications without spending a lot of time and effort writing code. Once the ChatGPT-like domestic platform is mature, the low-code platform can integrate it, which will undoubtedly make the low-code efficient, time-saving and labor-saving features flourish.
Transformation into compound talents is the way out
Where do the existing programmers go, of course there is a place for them.
Transforming into a full-stack programmer will not only increase more career opportunities, but the greater value lies in a better understanding of the business. Back-end programmers who transform to a full-stack can better cultivate experience in interaction, requirements, and user experience, while front-end programmers who transform to a full-stack can better cultivate experience in core business processes and domain design.
But full-stack programmers are not the end. They also need to develop in the direction of management, architecture, business, marketing, and technical products based on software development capabilities, and become compound high-end talents.
Summarize
The most important path is to develop into business, to become a talent who can not only do business analysis and product design, but also do development work, and become the backbone of most software projects that are not particularly complicated. Fortunately, the research and development of technical products such as cloud computing, big data, and middleware may still require the best programmers to do well, and they are willing to spend a lot of money to recruit the best programmers.
With a high probability, GPT technology will not lead to the demise and shrinkage of the programmer group, but it will still have a huge impact on the positions of existing programmers.
I hope more programmers can see it, because programmers really have to think about it.