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gcp_solution_architecture_a…
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Jonathan Boniface
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refactored: to utilise the google adk and production grade agent
2026-09-02 21:42:10 +01:00
..
validate_artifacts.py
refactored: to utilise the google adk and production grade agent
2026-09-02 21:42:10 +01:00
validate.sh
decomposer: generate deliverable files for Discover and structure the solution's functional requirements, non-functional requirements, constraints, assumptions, and open questions without selecting cloud products.; Select Google Cloud products from the confirmed requirements and produce the solution architecture, Mermaid diagram, architecture description, and Terraform infrastructure-as-code.; Validate the Terraform infrastructure and architecture artifacts without deploying resources by running formatting checks, Terraform validation, and a dry-run or plan-oriented deployment check.; Package the approved requirements, architecture, Mermaid diagram, Terraform IaC, and validation results into solution-architecture-guide.md in the gcp_solution_architecture_agent repository.; Verify that the gcp_solution_architecture_agent repository contains the packaged solution-architecture-guide.md with the approved workflow outputs.; Verify that the repository is derived from the workflow_agent template and implements the complete four-phase Google Cloud solution architecture workflow alongside the packaged guide.; Publish the verified gcp_solution_architecture_agent repository with its completed workflow implementation and solution architecture guide.; Verify that the published repository revision contains the completed workflow implementation and solution architecture guide.
2026-09-01 20:00:05 +00:00