The popularity of ChatGPT has triggered a major change in the exploration and practice of AI application scenarios. Professional large-scale models in vertical fields are being deepened and implemented. Among them, the emergence of AI tools that focus on coding based on large models has significantly reduced the complexity of development . It improves the development efficiency of developers and is especially helpful for junior developers.
Therefore, in the face of the many excellent AI programming aids currently on the market, what are the advantages and disadvantages of each product and what is the actual performance in the programming field? This article will take FuncGPT (Hui Function) as an example, and compare it with other AI tools to help you quickly, clearly and accurately find the AI programming tool that suits you when faced with massive and complex information.
- What is FuncGPT (Human Function)?
FuncGPT (Hui Function) is an AI generator that focuses on AI generating Java functions .
FuncGPT (intelligent function) is a brand new function launched by Feisuan SoFlu software robot. About Feisuan SoFlu software robot, it is the first full-stack fully automatic development tool in China. Through visual dragging and parameter configuration, it can realize the business logic equivalent to writing complex code, and complete the micro-service application development when designing the business logic. , to achieve "business is diagrams, diagrams are codes", and realize "software development, ten times more efficient".
- What can FuncGPT (commant function) do?
FuncGPT (wit function) supports all types of function creation. Describe Java function requirements through natural language , and generate high-quality, highly readable Java function codes in real time. The generated code can be directly copied to IDEA , or imported into SoFlu software robot Java automatic development tool function library with one click. It provides great convenience for development engineers' daily function development work, and improves the efficiency by a thousand times.
Specifically, FuncGPT (Human Function) has the following five capabilities:
1. Natural language: Functions can be generated through natural language, lowering the threshold for software development.
2. Second-level function development: fully automatic second-level development function, complete in seconds, and improve efficiency by a thousand times.
3. One-stop function development and application: function generation can be directly applied, with guaranteed efficiency and safety.
4. Reliable quality: The generated function code conforms to industry norms, has good readability, and conforms to the optimal solution.
5. Flexible generation: Generate and support adjustment and modification according to the specific needs of developers.
- FuncGPT (common function) coding practice
In the development of ERP or e-commerce systems, functional scenarios such as content encryption, signature generation, and page list display are often encountered, and the functional requirement of sorting List collections in Java programs is required as an example:
Enter the following requirements and parameter requirements on the FuncGPT user interface:
Function function: List sorting
Parameter 1 : parameter name: list ; parameter type: List<Map<String, Object>> ; parameter description: List object
Parameter 2 : Parameter name: columns ; Parameter type: String ; Parameter description: sorting field names , separated by / ;
Parameter 3 : parameter name: order ; parameter type: String ; parameter description: sort category asc order, desc reverse order
Return value: not null
In just 24 seconds, FuncGPT (Hui Function) can generate a concise, intuitive and robust code.
- FuncGPT (Hui function) VS aiXcoder
About aiXcoder , it is an intelligent programming robot based on deep learning code generation technology launched by the project team from the Silicon Core Technology of the Ministry of Education Key Laboratory of High Credibility Software Technology (Peking University). aiXcoder works completely offline, and will not upload the user's code to the cloud, ensuring the security of the user's code. A code search engine is also provided to help users search for API use cases on GitHub . aiXcoder also supports Java and covers multiple programming languages such as Python/C++ .
So how does FuncGPT compare with the well-known aiXcoder in the industry, which focuses on AI coding , and how does it perform in generating function codes?
Also take list sorting as an example. After inputting the parameter requirements above, aiXcoder crashes directly because it cannot understand the complex requirements.
Based on the principle of comprehensiveness and objectivity, try to enter the relatively simple requirement of "file transfer File, and return the converted File object" in the two interfaces :
( FuncGPT interface operation display)
(aiXcoder interface operation display)
After comparison, we found that:
- Generation time: aiXcoder freezes after inputting requirements, it takes 50 seconds, FuncGPT only takes 14 seconds;
- Code readability: aiXcoder lacks class names and function function annotations, making it difficult to understand the function and usage of the code; FuncGPT code annotations and cases are clear, and the readability and maintainability are better;
- Code reuse: FuncGPT encapsulates the function in an independent tool class FileConverter , which is helpful for modularization and reuse compared with aiXcoder .
In summary, in simple demand scenarios, the code generated by FuncGPT is more readable and maintainable, and supports reuse and is more modular.
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