By 2028, 90% of enterprise software engineers are expected to utilize AI code assistants, significantly increasing from less than 14% in early 2024. This shift will transform developer roles from implementation to orchestration, emphasizing problem-solving and system design. Gartner advises that organizations must balance automation with human oversight while investing in AI-native software development to enhance the software development life cycle (SDLC). By 2027, at least 55% of engineering teams will focus on Large Language Model (LLM)-based features, urging leaders to upskill and embrace generative AI. Furthermore, 70% of platform teams will integrate GenAI capabilities by 2027, making AI tools accessible through developer portals. The rise of open GenAI models is predicted to account for 30% of global enterprise spending on GenAI technologies. Additionally, prioritizing green software engineering is crucial for sustainable development amidst increasing carbon footprints from digital initiatives. Moonshot News champions diversity and inclusion in the IT, Media, and Advertising sectors.
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