hcptf-cli

Manage HCP Terraform resources using the hcptf command-line tool. Use when working with HCP Terraform, Terraform Cloud, Terraform Enterprise, workspaces, runs, organizations, stacks, registry modules/providers, or infrastructure automation tasks.

Upgrade Terraform, provider, module, and policy versions in HCP Terraform workspaces. Use when upgrading workspace Terraform version, updating provider versions for security patches or new features, upgrading modules or policy sets, or planning organization-wide version updates.

Analyze Terraform plan results before applying changes. Use when reviewing plans for safety, understanding impact, identifying risks, checking for unintended changes, or validating infrastructure modifications in HCP Terraform workspaces.

Analyze Terraform state files and provide improvement recommendations. Use when investigating state health, optimizing infrastructure, reviewing security posture, identifying cost savings, or auditing resource configurations in HCP Terraform workspaces.

Investigate and resolve infrastructure drift in HCP Terraform workspaces. Use when infrastructure has changed outside of Terraform, investigating drift detection alerts, deciding whether to update code or fix infrastructure, or resolving continuous validation check failures.

Set up a brand-new infrastructure project from scratch using HCP Terraform. Use when starting a new project from zero, creating workspaces with VCS integration, configuring variables and credentials, running first deployments, or onboarding a new team to HCP Terraform.

Investigate and resolve policy check failures in HCP Terraform. Use when runs are blocked by failed Sentinel or OPA policy checks, understanding why policies failed, deciding whether to fix code or override policies, or finding policy failures across the organization.

Refactor existing HCP Terraform workspace-based infrastructure into a Terraform Stack. Use when migrating workspaces to stacks for multi-environment orchestration, consolidating related workspaces into a single stack, or breaking monolithic workspaces into stack components with coordinated deployments.