SNRA CVD Programming PlaybookPrivate project overview
Pain point → operating model

SNRA CVD Programming Playbook

Secure-network reference architecture automation work is difficult to coordinate when API, CLI, Terraform, testing, and ownership plans are disconnected.

Use case

Secure-network reference architecture automation work is difficult to coordinate when API, CLI, Terraform, testing, and ownership plans are disconnected.

How it solves it

Generators and planning artifacts align workstreams, roles, mappings, test cases, and implementation gates into a repeatable playbook.

Architecture

The design separates inputs, orchestration, AI assistance, and human verification. Secrets and environment-specific identifiers belong in runtime configuration, never in this page or source control.

Pain pointquestion or taskSourcesvalidated inputsAgenticOpsroute · retrieve · observeretry · audit · hand offAI / RAGgrounded assistanceVerified outcomehuman-safe action

Software stack

Python, openpyxl-style workbook generation, HTML planning views, Terraform/CLI mapping concepts, CI checks.

Source-controlledTestableObservableLeast privilege

AI and AgenticOps

AI can summarize scope and surface gaps, while AgenticOps can run generators, validate outputs, and preserve review checkpoints without embedding credentials.

Technical operating model

Ingest
Accept structured inputs and normalize them.
Reason
Retrieve approved context and produce a bounded plan.
Verify
Apply guardrails, human review, and evidence checks.

Office source artifacts and environment-specific plans are intentionally excluded from the Pages publish set.