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The AI-Driven Infrastructure as Code Handbook. Build and verify cloud and Kubernetes infrastructure with Claude Code, Codex, Terraform, and MCP Gourav J. Shah

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The AI-Driven Infrastructure as Code Handbook. Build and verify cloud and Kubernetes infrastructure with Claude Code, Codex, Terraform, and MCP Gourav J. Shah - okladka książki

The AI-Driven Infrastructure as Code Handbook. Build and verify cloud and Kubernetes infrastructure with Claude Code, Codex, Terraform, and MCP Gourav J. Shah - okladka książki

The AI-Driven Infrastructure as Code Handbook. Build and verify cloud and Kubernetes infrastructure with Claude Code, Codex, Terraform, and MCP Gourav J. Shah - audiobook MP3

The AI-Driven Infrastructure as Code Handbook. Build and verify cloud and Kubernetes infrastructure with Claude Code, Codex, Terraform, and MCP Gourav J. Shah - audiobook CD

Autor:
Gourav J. Shah
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Stron:
394
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     ePub

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The Agentic Infrastructure as Code Handbook is a practical guide to building cloud and Kubernetes infrastructure with AI coding agents, rather than relying on hand-written HCL and YAML alone. It shows DevOps engineers and platform teams how to move beyond ad hoc prompting and use context engineering, reusable agent skills, MCP servers, and spec-driven workflows to turn plain-language intent into Terraform and OpenTofu configurations, Helm charts, and Kubernetes manifests.
Each chapter builds on the last: workstation setup with Claude Code and Codex CLI, repository context and skills, MCP tool access, permissions and guardrails, and spec-driven generation. Learn to verify generated changes with Trivy, Checkov, OPA/Conftest, and optional Infracost cost estimates. Later chapters extend these practices to Kubernetes with Helm and Crossplane, then to GitHub Actions, Argo CD, and human-approved GitOps delivery. Explore bounded agent loops, multi-agent tradeoffs, and an end-to-end capstone.
Throughout, one rule holds: the agent proposes, the pipeline decides. Each increase in autonomy is paired with checks, evidence, and human review. Core exercises run locally, with AWS deployment optional. You'll finish with a repeatable approach to creating, verifying, and delivering infrastructure changes while keeping control over what ships.

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