feat: confluence benchmark, pattern extractor, agent KB, UX spec
- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions, CIDR allocations, naming conventions, sync waves, tech stack from code - agent-kb.js: token-efficient JSON rendering of same doc tree - eval-confluence-ref-questions.json: 32 reference-only benchmark questions - wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%) - docs/human-ux-spec.md: BMad UX designer spec for human doc structure - Eval results: V2 at 28.7% vs confluence 77.8% baseline - Hub/spoke ownership now correctly extracted (95% on that question) - Naming conventions, regions, CIDRs surfaced in system-architecture.md
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# kong-routes-automation
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A Helm chart for automating Kong routes configuration using Argo Workflows
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## Values
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| Key | Type | Default | Description |
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|-----|------|---------|-------------|
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| configMap.filesName | string | `"kong-routes-files"` | |
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| configMap.scriptName | string | `"kong-routes-script"` | |
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| git.appCommonRepo.branch | string | `"main"` | |
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| git.appCommonRepo.url | string | `"git@bitbucket.org:reltio-ondemand/app-common.git"` | |
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| git.appRuntimeRepo.branch | string | `"main"` | |
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| git.appRuntimeRepo.url | string | `"git@bitbucket.org:reltio-ondemand/app-runtime.git"` | |
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| git.sshKeySecret | string | `"git-ssh-key"` | |
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| workflow.name | string | `"kong-routes-automation"` | |
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----------------------------------------------
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Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)
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