Your agents are only as good as the foundation they run on

As organizations increasingly deploy AI agents across software development, the article argues that unmanaged, team-built agents can create security, compliance, visibility, and operational risks despite improving engineering productivity. It defines an agentic SDLC platform as a shared foundation that centralizes four functions: supplying current organizational context, orchestrating agent actions through controlled workflows, maintaining a registry of agents and integrations, and applying consistent governance through scoped permissions, approval gates, and audit trails. The piece contends that decentralized approaches lead to inconsistent implementations and agent sprawl, while a unified platform can make controls automatic rather than dependent on individual teams. It cites payments company dLocal, which reportedly built its agent foundation with Port before deploying its dCoder engineering agent, and attributes improvements in ticket automation, deployment frequency, lead time, and incident recovery to this approach. Port is presented as a platform offering a shared Context Lake, orchestration, registry, role-based access control, and auditing for agents and MCP servers, with the broader recommendation that organizations establish these controls before agent adoption expands substantially.

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