Platform engineering teams manage increasingly complex cloud-native stacks, where everyday tasks like deploying an application, finding the right operational information, answering “what changed?”, and triaging failures often require jumping across tools, Kubernetes state, GitOps configuration, CI/CD history, tickets, and fragmented documentation.

CAIPE is a production-grade, open-source “deep agent” platform: it combines coding-capable agents with a supervisory multi-agent architecture that can securely access platform systems (Kubernetes, GitOps, source control, tickets, and docs) under appropriate RBAC and policy controls. It grounds decisions in unified knowledge bases, including RAG, GraphRAG, and data agents, so it can orchestrate complex, multi-step platform workflows with traceability.

In this session, we’ll show how CAIPE orchestrates workflows across the platform toolchain (Kubernetes, GitOps, source control, tickets, and knowledge) using open standards such as MCP and A2A to deliver concrete outcomes: faster self-service and onboarding, reliable retrieval of the right platform context, accelerated triage and root-cause analysis, PR-ready remediation (code and configuration changes), and policy-aware execution with traceability and approvals.

We’ll also cover how teams can use CAIPE as composable building blocks to create their own production-grade, extensible agentic platform engineering system, and how it can be operationalized on Kubernetes using Helm charts and standard cloud-native delivery practices. The session will include a demonstration of how CAIPE can be consumed through an IDP (for example, Backstage via the Agent Forge plugin) or used through a dedicated web UI or CLI, enabling teams to define new capabilities as Agent Skills and assemble repeatable, task-configured workflows that convert platform intent into reliable execution.