Across recent coverage, AI-assisted coding is framed both as a productivity accelerant and a source of anxiety about the future of software engineering. One article spotlights AI tools producing legacy-language scripts (e.g., COBOL) and ties the moment to market narratives, while another highlights guidance from Anthropic’s CEO on how students should think about software and engineering career paths in an AI-shaped landscape.

1. One news report frames the rise of AI coding tools as raising the question of whether the software engineering profession could “die in the age of AI.” 2. The same report links AI coding capabilities to legacy systems by citing Claude Code writing COBOL scripts, and it connects the narrative to IBM stock performance (“IBM stock bleeds”). 3. Another article reports that Anthropic’s CEO discussed career options for Indian students entering software and engineering roles, suggesting ongoing attention to how AI changes early-career planning. 4. A separate piece explicitly focuses on “AI-assisted software engineering,” indicating a growing discourse centered on AI as an assistive layer within engineering practice rather than only as a replacement narrative.