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AI Code Generation Exposes CI/CD Pipelines as the New Developer Bottleneck

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AI coding tools and large language models have dramatically reduced code generation time from hours to minutes, fundamentally changing where delays occur in software development. As a result, traditional CI/CD pipelines — not the act of writing code — have become the primary constraint on team velocity. The bottleneck has shifted from code creation to the verification, testing, and deployment stages that follow it. Engineers and systems architects are now being urged to redesign their DevOps infrastructure to handle the surge in AI-generated code volume. Without these architectural changes, pipelines risk starvation, where the system cannot process code fast enough to keep up with AI output.

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