The rise of AI in software development is shifting the main challenges faced by engineering teams. While code generation is accelerating, the critical tasks of assessing its impact, validating releases, and managing unexpected issues remain dependent on real-time production data. Hud reports that AI contributes to or generates 42% of the code developers deploy, highlighting the increasing integration of AI in the software lifecycle.
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