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The conversation around AI in engineering is shifting rapidly, moving past mere autocompletion toward full-scale reasoning and automation in engineering work. The future of development is increasingly defined by AI agents. This transition is already yielding concrete tools, such as AI agents dedicated to code review and comprehensive integrations.
However, this exciting agentic shift is haunted by a productivity paradox. We see impressive benchmark scores for AI models alongside anecdotal reports of substantial helpfulness across various…
