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AI coding tools are delivering uneven productivity gains across the software industry. While small teams working with modern tech stacks see significant speedups, enterprise developers with legacy codebases struggle with AI-generated code that lacks context and creates maintenance burdens. The future of development may shift toward planning, code review, and managing AI agents rather than hands-on coding, requiring developers to adapt their skills. Better tooling is needed across four key areas: upfront planning with context-aware agents, iterative coding assistance, thorough code review, and automated maintenance tasks like dependency updates and refactoring.

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