What problem does it solve? Platform teams struggle to turn maturity assessment findings into a concrete, sequenced architecture for an Internal Developer Platform, and face new design questions when AI coding agents must safely consume the same platform capabilities as humans. ## Core Features & Use Cases - Five-plane reference architecture: Maps developer control, integration & delivery, resource, security, and observability planes to per-cloud tool slots (AWS, Azure, GCP) with portable invariants like Backstage, Score, Terraform/OpenTofu, and OPA. - ADP design for AI agents: Defines deterministic, probabilistic, and hybrid execution paths plus the seven agent infrastructure components (identity, context, capability, execution, evaluation, security, observability). - Specialized variants: Covers Kubernetes fleet lifecycle management, AI/ML sixth-plane extension with dual orchestrators, and sovereign/exit-by-design architectures for GDPR, NIS2, and DORA scope. - Use Case: After running a platform maturity discovery, produce an architecture brief with a filled tool-mapping table, capability register with reuse/buy/assemble/build decisions, golden paths, and a phased build sequence. ## Quick Start Use the idp-adp-architect skill to design our target platform architecture and agent readiness plan from the discovery evidence catalog.