In the age of agentic AI, scaling projects requires more than just code volume. This article explores how engineering teams are shifting from treating AI as a magic bullet to building a shared infrastructure that connects traditional rigor and high-velocity agentic power users. It emphasizes reproducible systems, skills-based architecture, and the importance of reliable feedback loops to ensure consistent, high-integrity results across the project.
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