[Software]96% of software developers use generative AI

[MosterOfficial ☆]

Generative artificial intelligence has also come to revolutionize the world of software development. And currently, this technology has become an essential tool in this field, from code generation to test automation. In fact, as a recent Snyk report reveals, around 96% of software developers already use this technology in their daily lives. Generative AI and deep learning have the potential to help these professionals complement their work and solve complex problems. The consulting firm knowmad mood has compiled some applications of this technology in this area: --Code generation, debugging and review. This technology is capable of generating code fragments or complete functions from the specifications provided in the dialogue with the programmer. Furthermore, it can be a support in itself in the process of analysis and review of the code created by the developer himself in order to optimize its quality. In addition, it can be a support when identifying complex problems in the code and suggesting solutions to fix them.

Assistance in programming, syntax and API. Due to their idiosyncrasy, GPT advanced language models are capable of answering questions related to programming itself, as well as software engineering principles, thus expanding the developer's knowledge on the subject. Also, in addition to suggesting code fragments, this tool helps with the programming syntax that has been used since, in general, they tend to offer correct syntax and detect errors in it to correct them. In this way, an improvement is obtained in the API protocols or in the design and integration of the applications that are developed. --Guide to algorithms and structures. When creating code, developers must select and define the algorithm and data structures necessary to create it. In this sense, GPT models can be of great help since they are capable of offering support and assistance in the generation of these algorithms, as well as in the selection of the data that will be used to generate the code and software. --Natural language processing (NLP) tasks. Large language models are, in themselves, natural language processing tools. In this sense, they can be useful for software developers in tasks related to this area such as text preprocessing or even in the extraction of unstructured data or data with an incoherent structure, since they can analyze and process them automatically. to exclusively extract the relevant information.

https://discoverthenew.ituser.es/it-trends/2024/03/el-96-de-los-desarrolladores-de-software-utiliza-la-ia-generativa