A one-line change to Terraform or a CI workflow can expose a database or leak a deploy key. Mesrai reviews infrastructure-as-code and pipeline changes in the same pull request flow as everything else.
Platform and DevOps teams use AI code review on infrastructure-as-code: Terraform, Kubernetes manifests, Helm charts, Dockerfiles and CI workflows. Mesrai flags risky changes such as public storage buckets, security groups open to the internet, privileged containers, secrets in pipeline files and missing resource limits, and platform teams encode their own guardrails as rules for the infrastructure folders.
Infrastructure changes have a large blast radius but are often reviewed by one person in a hurry.
Plans and diffs are long; the one dangerous line hides among hundreds of routine ones.
Pipeline files hold the most powerful credentials in the company.
Guardrails exist in a wiki, not in the review.
Public buckets, open ingress, overly broad IAM policies, unencrypted storage and disabled logging.
Privileged containers, running as root, missing resource limits, latest tags and host mounts.
Secrets in workflow files, remote scripts piped to a shell, and untrusted input in CI commands.
Apply infrastructure rules only to infra/ and .github/, so application code isn't affected.
Illustrative examples of the kind of change platform and DevOps teams make every week, and the review comment Mesrai would post.
To debug a connection issue, an engineer widens a security group.
ingress {
from_port = 5432
to_port = 5432
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}This opens Postgres to the whole internet. Restrict cidr_blocks to the application subnet or reference the app security group instead.
Result: A temporary debugging change doesn't become a permanent exposure.
A new worker deployment is added for a batch job.
containers:
- name: worker
image: registry.example.com/worker:latest
securityContext:
privileged: truePlatform rules: no privileged containers, pinned image tags and CPU/memory limits are required. This pod runs privileged with :latest and no limits, so one bad job can take the node down.
Result: Platform guardrails apply automatically to every team's manifests.
Configure your infrastructure folders separately from application code.
Configure folder-level settings for infra/, k8s/ and .github/workflows/.
Add rules for your guardrails: allowed CIDR ranges, required tags, pinned images, limits.
Enable security analysis for these folders at a stricter severity.
Keep Terraform plan checks and policy-as-code in CI; use Mesrai for review of intent and context.
Fewer exposed resources and over-broad permissions
Pipeline credentials protected
Platform guardrails enforced in every repository
Faster reviews for routine infrastructure changes
Yes. Mesrai reviews Terraform like any other code change, flagging risky configurations and enforcing your own rules for infrastructure folders.
No. Keep policy-as-code and scanners as deterministic gates. Mesrai adds review that explains risk in context and applies guardrails written in plain English.
14-day free trial · every feature unlocked · no credit card required.
Review code written with Cursor, Copilot and Claude Code for the mistakes AI makes — invented APIs, duplicated logic, missing checks — before it merges.
Read more MonoreposDifferent rules for each app and package, and review that sees how a change in a shared library ripples through everything that imports it.
Read more Legacy CodebasesChange old code safely: review that understands the callers nobody remembers, flags behaviour changes in refactors, and guides migrations away from deprecated patterns.
Read more