"It wasn't long ago that the idea of generative AI producing usable code seemed like a near-to-medium-term goal, with early reactions to the likes of using ChatGPT for code including Apple banning internal use of the chatbot and Stack Overflow barring its outputs from the popular coding community."
"The digital consulting company Publicis Sapient, which has 20,000 employees around the world, is using generative AI tools to help solve higher-order problems like requirements generation, non-functional testing, compliance verification, and service introduction, alongside more foundational elements like unit testing, code development, design documentation, and functional testing."
"However, the real transformation came with the recent generative AI revolution, with deep learning becoming a pivotal point. As AI-powered automation gained momentum across industries, we were early leaders in applying Gen AI to accelerate the software development lifecycle."
Generative AI has moved from an experimental capability to a practical tool used widely in software engineering. 84% of surveyed developers use or plan to use AI in their coding process, up from 76% in 2024. Employers increasingly prioritize AI skills, with 65% of digital leaders favoring an AI-enhanced developer with two years' experience over a five-year developer without AI skills. Large consultancies like Publicis Sapient (20,000 employees) apply generative AI across the software lifecycle, from unit testing and code development to requirements generation, non-functional testing, compliance verification, and service introduction. Organizations are scaling Gen AI to accelerate delivery speed and improve quality.
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