Platform Beaver: Running Port's Own SDLC on AI Agents

Port describes Platform Beaver, a Slack-based interface for its AI agents that has enabled the company’s R&D organization to run parts of its software delivery lifecycle through natural-language workflows since May 2026. After evolving from a command-driven Slack app, Beaver adopted configurable agent routing, per-user OAuth permissions, and self-service channel setup, allowing teams to deploy and manage agents without code changes or platform-team tickets. The agents support structured tasks including bug triage, incident investigation and RCA drafting, pull-request review, alert analysis, flaky-test triage, and platform questions, while less-defined work and decisions requiring implicit team knowledge still require human oversight. Port found that trusted identity and an accessible interface mattered more to adoption than agent sophistication alone, and it continues to use both shared and team-specific agents depending on context. Operating Beaver internally has influenced Port’s product design by treating Slack channels, workflows, permissions, and agent ownership as catalog-managed entities, with an emphasis on governance and real-user authorization. The company reports increased developer self-service, fewer platform requests, and faster incident response, while noting that its automation results and agentic SDLC approach remain under ongoing development.

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