People always overestimate the short-term benefits of a technology, but underestimate its long-term impact.
1. The deep integration of low-code and AI is the future development trend
In the first half of 2023, with the explosion of Chat GPT, the ability of AI in the field of natural language dialogue and coding has attracted worldwide attention. Can AI at this stage really bring everyone into an era of fertile technological productivity?
People always overestimate the short-term benefits of a technology, but underestimate its long-term impact. The current AI is only close to junior programmers in terms of final verification ability, and the birth of a software is not just as simple as typing codes, it needs to consider requirements design, technical design, front-end development, back-end development, packaging deployment, testing, etc. link.
Therefore, low-code covering the entire life cycle of software development is still the best solution to fill the technical gap at the current stage. For low-code, the space after joining forces with AI has endless imagination. AI has begun to play an unimaginable role in low-code platforms, such as natural semantic understanding and code generation, annotation-assisted writing, self-service page building, and so on. As more and more manufacturers announce their investment in the research and development of AI+ low-code platforms, the integration of the two has become a current trend.
2. How to integrate is the key
Timing is not the only factor in winning. At present, the combination of AI and low-code cannot be solved "simplely and rudely" through the interface, but involves multiple links such as complex manipulation, fine movement, and reasonable planning. The optimization of the system not only takes time, but also requires cross-field cooperation.
For Wanying low-code CTO Hu Yanping, these problems are not insurmountable. He has two understandings of the integration of low-code and AI:
1. Internal strength training of low code: low code driven by large model
Low-code can build a general-purpose AI large model access layer, and the platform can access and adapt various large language models at any time, through the construction of automatic generation of SQL/code, automatic generation of business entities, automatic generation of business logic, automatic construction of connectors and Intelligent development scenarios such as testing, automatic interface generation, automatic color matching for image recognition, automatic generation of pictures/videos, automatic creation of applications according to requirements documents, automatic generation of design comments, intelligent creation and matching of parameters, etc., further lower the threshold for developers.
In the past, the low-code platform after completing the overall functional architecture could monotonously improve the platform capabilities and reduce user learning costs through continuous code repair and optimization. However, the introduction of AI will usher in an era of acceleration for the improvement of the low-code platform itself.
Especially for low-code platforms with their own DSL language, the introduction of AI will greatly improve the usability of the product.
Wanying has a DSL-based designer and a relatively complete instruction system, which also builds a more powerful atomization capability than other low-code platforms, that is, dismantling tasks, jobs or functions into the smallest Operable units, and each unit is independent of each other, the ability to complete and operate independently.
For example, for a button on a page, on other platforms, several styles may be preset for users to choose. The button shape can be square or rounded, and the color can be dark or light. , we will also preset these styles for the user, but at the same time, if the user wants a button with a rounded corner of 5px and an inner margin of 15px, he only needs to open the component property panel and click with the mouse. Everything can be customized. Similarly, in terms of global logic, page logic, etc., these user-defined capabilities are ubiquitous on Wanying.
In the past, the advantage of this is that Wanying has more advantages for the more complex software application development, but the challenge brought about by this is that the learning threshold for users has also increased. After all, tools with higher upper limits have higher operating thresholds. Hard to be low.
Now, with the improvement of the above-mentioned AI + low-code intelligent development scenarios, the development experience and efficiency of Wanying low-code client will increase exponentially.
2. Feedback of low-code capabilities: low-code drives large models
If AI is only regarded as a tool for improving the capabilities of low-code platforms, it is an underestimation of its long-term value. Let more ordinary people use AI, or let AI empower thousands of industries like low-code, and make expensive common or even free, so that human beings can truly enter the era of technological productivity.
For Wanying low-code, it is still promising to further promote the wide application of large-scale model technology in various industries, and at the same time, use low-code to feed back AI capabilities and expand AI application scenarios:
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By improving the underlying strength of the low-code platform, providing customers with powerful tools and functions, helping customers from all walks of life to quickly access, quickly integrate, quickly build and quickly iterate AI capabilities, thereby promoting the implementation of AI technology in practical applications, Make it more efficient to use AI technology to solve business problems.
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Wanying low code will also quickly help the landing of AI large model application layer products, and further drive the large model to better adapt to the needs of industrial application scenarios, domain data and enterprise digitization. Through continuous feedback and optimization, accelerate the combination of AI large models and industrial application scenarios, and provide better solutions and performance.
3. The journey is long and the road is long and difficult
The strong combination of low-code and AI is not only a mutual achievement, but also will bring exciting changes to the outside world. However, objectively speaking, the deep integration of low-code and AI still needs time and effort, and the API interface of AI manufacturers has not yet been implemented. Completely open on a large scale, the existing companies that have released AI + low-code products have actually only demonstrated some functions.
At the same time, AIGC's appeal is gradually waning. According to data from the website analysis tool SimilarWeb, ChatGPT's global visits fell for the first time in June, down 9.7% month-on-month.
AI is not a universal tool to solve all problems, nor is low-code. Only when the two continue to think about solving real physical world problems, can they complement each other and provide continuous support for solving practical problems, thereby realizing their own value.
All in all, the combination of low code and AI, whether AI serves low code or low code serves AI, needs to always maintain a core principle: return to users and customers, and create value for them. This principle reminds us not to fall into self-obsession, but to focus on the real problems that need to be solved. Therefore, Wanying Low Code will maintain the confidence and investment in integrating with AI for a long time, and is committed to providing customers with more intelligent and efficient solutions.
The integration of AI and low-code is not about speed, but about the ability to create value continuously and accurately.
Hunan Yunchang Network Technology Co., Ltd. (referred to as "Yunchang Technology") is a national high-tech enterprise with self-developed low-code as its core technology, invested by the state-owned holding platform Hunan Caixin Financial Holding Group. With its leading low-code technology advantages and years of customer service experience in the government and enterprise industries, the company has become one of the leading low-code digital transformation solution providers in China.