AI-Powered Terraform Plan Review
Autonomous pre-merge review of every Terraform plan: blast-radius scoring, policy checks, and architecture flags in under a minute.
Terraform
GitHub
GitLabOPAThe problem today
Code review for Terraform PRs is where experienced platform engineers burn hours. They're reading plan output line by line, mentally computing blast radius, cross-referencing IAM changes against policies they half-remember, and rubber-stamping anything that looks 'fine' because the queue is forty PRs deep. The risky changes (cross-account IAM grants, publicly exposed resources, stateful replacements) slip through exactly when reviewers are tired.
How AI agents solve it
The Terraform Agent reads every plan, flags resources by blast radius, checks against your OPA policies and the Security Agent's compliance baselines, and runs the Architecture Reviewer over the resulting state. It posts a structured review comment on the PR with each flagged line, the policy or pattern violated, and a plain-English explanation. Engineers still make the call; they just start from a curated list of things actually worth looking at.
Who this is for: Platform teams with 5+ engineers reviewing Terraform PRs daily
Manual workflow vs. Terraform Agent
Manual workflow
- Reviewer opens the PR and reads plan output by hand
- Mentally classifies resources as risky or safe, from memory
- Cross-references IAM/SG changes against internal policies
- Approves under deadline pressure, so risky changes slip through
- No audit trail of what was actually reviewed
With the Terraform Agent
- Every PR gets a structured review comment within 60 seconds
- Flags prioritized by blast radius, not buried in plan output
- OPA and compliance baselines checked against every change
- Architecture anti-patterns caught automatically before merge
- Full audit trail of every flag and every approval
How the Terraform Agent runs this
- 01
Webhook fires on every pull request touching Terraform files
- 02
Run `terraform plan` in a sandboxed workspace with the PR's changes
- 03
Parse the plan and classify each resource change by blast radius
- 04
Security Agent validates against OPA policies and compliance baselines
- 05
Architecture Reviewer runs anti-pattern detection on the projected state
- 06
Compose a structured PR comment with flagged lines and severities
- 07
Auto-approve trivial changes (tags, descriptions) to unclog the queue
Measurable impact
Cuts PR review time for platform engineers by 50-70%
Catches high-blast-radius changes manual review regularly misses
Auto-approves the long tail of trivial changes
Every approval has an auditable trail of what was checked
Agents involved
Governed by the AI Gateway
Every agent action in this use case is audited, policy-checked, and cost-tracked
Structura's AI Gateway sits between every agent and the underlying LLM providers. Every decision made during this use case. Every plan review, every policy check, every fix PR, is routed through guardrails, logged to an immutable audit trail, and evaluated against NIST AI RMF and AIUC-1 controls.
Learn about the AI GatewayRelated use cases
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See this use case in a live demo
We'll walk you through exactly how the Terraform Agent handles this in a real environment with your stack, your policies, and your constraints.