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Navigating the AI Development Landscape
This chapter examines the duality of specialized and general AI models in software development, highlighting current coding assistants like GitHub Copilot and their efficacy. It addresses the complexities of relying on AI-generated outputs, touching on both their benefits in reducing repetitive tasks and their associated risks of errors. The discussion further explores the strategic implications of AI ecosystems, competition in the market, and the potential impact of regulatory changes on innovation and developer autonomy.