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AI Writes Integration Code Fast, But Infrastructure Work Still Falls on Your Team

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AI tools like Copilot, Cursor, and Claude Code can generate integration connectors and data transformation logic in seconds, dramatically cutting developer time. However, producing working code is only one part of what integration teams handle — deployment, authentication, monitoring, and multi-tenant management still require dedicated infrastructure. AI has no built-in concept of running the same integration across hundreds of customer instances with different configurations. Platforms like Prismatic are designed to bridge this gap, turning AI-generated code into production-ready, scalable integrations. The core argument is that AI compresses coding time but does not replace the structural and operational work that keeps integrations running reliably at scale.

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