Gartner names Port as a key AI software factory platform provider

Gartner’s first research on AI software factories identifies Port as a platform for coordinating AI agents, governance, context, approvals, and delivery across the software development lifecycle, reflecting growing interest in moving beyond isolated AI coding assistants. The post argues that teams often fail to gain speed from agents because work remains fragmented across human handoffs and siloed tools, while a centralized cloud-based factory can provide shared context, controls, and workflows from ticket creation through production. It outlines three approaches—building a factory internally, purchasing a focused agent product, or using a horizontal platform that integrates existing tools—and promotes the latter as more suitable for large organizations requiring flexibility, oversight, auditing, access management, cost controls, and multi-agent support. Port describes its platform as providing a context layer, agent and MCP registry, risk-based human approvals, orchestration, and organization-wide quality, cost, and throughput measurement. As an example, payment company dLocal reportedly connected its internally built coding agent to Port’s foundation, achieving end-to-end resolution for 45% of tickets and reductions of 50% in lead time and mean time to recovery.

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