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This report examines the unprecedented shift in software engineering as agentic AI systems transition from passive coding assistants to primary code contributors. In 2025, leading enterprises like Google, Amazon, and Robinhood report that a significant portion—and in some cases, the majority—of their new production code is now being generated by autonomous AI agents. This transformation is driven by a move from simple autocomplete tools to complex agentic workflows capable of planning, executing, and testing entire features without constant human intervention.The socio-economic implications are profound: while productivity has surged by up to 2x in pilot programs and legacy migration times have been slashed from months to hours, the industry faces a critical trust gap. With only 43% of developers fully trusting AI-generated output, the role of the software engineer is rapidly evolving from 'writer' to 'architect and reviewer.' As agentic systems begin to handle 80% of routine coding tasks, organizations must navigate the challenges of increased code churn, security vulnerabilities, and the total reimagining of the junior developer role.