Data specialist corporations Hecto Data said on the 26th that it has upgraded its "artificial intelligence (AI) sample code" service.
Hecto Data newly added six programming languages to the AI sample code service it rolled out in Feb. The company said the update allows it to support a total of nine widely used programming languages, securing a service foundation that can handle various development environments.
AI sample code is a service in which AI automatically generates, in real time, code that developers can reference when integrating various APIs (application programming interfaces) and services, such as asset management, healthcare, and financial transactions. When a client company selects Hecto Data's API product it wants to integrate, the AI automatically applies the key information (required input values) needed to fetch data and even provides executable sample code.
Client companies can make broad use of the sample code to fit their service development environments, and developers can quickly grasp API integration structures and rapidly proceed with code generation and testing.
According to Hecto Data, the number of sample code generations has been steadily increasing on the back of positive feedback from developers. As of the 17th of this month, the cumulative number stood at about 700. The main APIs used were financial products such as fast inquiries into personal and corporate account information, inquiries into bank demand deposit transaction histories, and inquiries into personal and corporate loan transaction histories, which accounted for a high share.
Through the "AI sample code" service, Hecto Data is lowering client companies' dependence on its technology at the early stage of development and helping non-experts easily understand API integration.
A company official said, "The AI sample code service helps developers quickly understand and test API integration structures, contributing to higher development productivity for client companies," adding, "We will continue to expand supported API products and programming languages and upgrade API development guides to enhance the convenience of data integration and the competitiveness of our services."