d-padmanabhan/agent-engineering-handbook
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File-scoped non-negotiables for authoring or reviewing Cloudflare Workers in TypeScript. Module Workers syntax only; Env interface generated from wrangler.jsonc via wrangler types; no secrets in logs; waitUntil for fire-and-forget; subrequest budgets respected; named bindings only. Loads when editing wrangler config…
d-padmanabhan/agent-engineering-handbook
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Tactical playbook for authoring or reviewing Cloudflare WAF rules across all three authoring interfaces - Terraform (cloudflareruleset), the Cloudflare Dashboard, and the Rulesets API. Covers both Custom Rules (phase httprequestfirewallcustom) and Managed-Rule Exceptions / skip rules (phase…
d-padmanabhan/agent-engineering-handbook
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Best practices for AWS services, EKS, Platform Engineering, Zero Trust, and cloud infrastructure patterns.
d-padmanabhan/agent-engineering-handbook
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AWS-specific IAM guidance covering principal types, policy evaluation, cross-account assume role patterns, SCPs, KMS key policies/grants, and AccessDenied debugging.
d-padmanabhan/agent-engineering-handbook
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GCP platform engineering patterns, Cloud Build, Terraform for GCP, and cloud architecture best practices.
d-padmanabhan/agent-engineering-handbook
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Azure platform engineering patterns, ARM/Bicep templates, Azure DevOps, and cloud architecture best practices.
d-padmanabhan/agent-engineering-handbook
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Mandatory security, reproducibility, cache, and publishing gates for Dockerfiles and Compose configurations.
d-padmanabhan/agent-engineering-handbook
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Mandatory Kubernetes workload, controller, and Argo CD safety gates.
d-padmanabhan/agent-engineering-handbook
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Mandatory Helm chart validation, supply-chain, secret, and deployment gates.
d-padmanabhan/agent-engineering-handbook
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Database naming conventions, schema patterns, and PostgreSQL best practices.
d-padmanabhan/agent-engineering-handbook
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Safe, maintainable SQL patterns for analysts and engineers - command categories (DQL/DML/DDL/DCL/TCL), transactions, and destructive-operation guardrails.
d-padmanabhan/agent-engineering-handbook
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Cross-platform data engineering standards (batch + streaming): data contracts, backfills, quality, governance, cost, and observability.