Unveiling the Insights: Capgemini Software Chief’s Discoveries on AI-Generated Code – A Balance of Usability and Uncharted Territory

Unveiling the Insights: Capgemini Software Chief’s Discoveries on AI-Generated Code – A Balance of Usability and Uncharted Territory

With a team of‌ over 62,000 engineers and scientists worldwide, Capgemini Engineering ⁣is ⁢dedicated to developing products for a ⁢diverse‍ range‌ of clients, from automotive‍ manufacturers⁤ to software vendors.

When AI-powered code generation⁣ tools emerged ⁢in 2022, this⁣ global consultancy firm took notice,‍ given that a significant portion‌ of its business involves⁤ creating software products for clients undergoing digital transformation.

Capgemini’s research reveals that a majority of‍ organizations ⁣will adopt generative AI (genAI) for software engineering within the next year. Currently, 30%‌ are experimenting with it,⁤ and 42% plan to integrate it soon, with only 28% avoiding the technology‍ altogether.

genAI is already contributing ​to writing a substantial ​portion of code, and this is projected to increase further in the coming year, according to Capgemini.

Three years ago, Jiani Zhang assumed the⁣ role of Chief Software‍ Officer at Capgemini Engineering. She has⁤ witnessed the ‍widespread ⁣use of genAI to enhance efficiency and productivity ⁤in software development teams. Despite its benefits, Zhang emphasizes that genAI is not yet suitable for production or creating ⁣a citizen developer workforce due to various challenges like security, intellectual property, and malware risks.

Jiani Zhang, Chief Software Officer at Capgemini Engineering

Capgemini

Despite the limitations, Zhang⁢ has leveraged AI-generated‌ tools for less critical tasks, leading to significant improvements within her ⁢team. Computerworld recently interviewed Zhang about Capgemini‌ Engineering’s AI ⁣utilization, and the‍ following are excerpts from that conversation.

2024-05-02 16:00:02
Source from www.computerworld.com

Exit mobile version