Engineering Guardrails for the AI Era.
Turn
AI prompts, standards, AGENTS.md files, eng wikis, cursor rules,
checklists, compliance
into deterministic PR and AI-level enforcement
in minutes,
not quarters
Developer behavior
is fundamentally difficult to change at scale.
Standards Are Scattered
AGENTS.md, wikis, Slack threads nobody follows
Checklists Get Rubber-Stamped
By humans and AI alike — no way to verify compliance
Human Review Is the Bottleneck
It's hard to keep up with AI-generated code volume
Fragmented Tooling
Every repo configured differently, no central enforcement
Issues Surface Too Late
Non-compliant code caught at deploy time, not authoring time
❌ The Broadcast Problem
Standards communicated
out-of-context
through mass channels
Any Guardrail, One Prompt Away
Describe any standard, process, or incident response. Lunar turns it into an enforced guardrail across every repo, in minutes.
-
1
Describe
Postmortem finding, compliance mandate, or zero-day. In plain language.
-
2
AI Creates the Guardrail
Data collection and enforcement. The platform handles both.
-
3
Enforced Everywhere
Every PR, every repo. Minutes, not quarters.
Incident Response
- Pin GitHub Actions to commit SHAs after the Trivy supply chain compromise
- Block npm package versions published during the Axios attack window
- Audit all workflows using tj-actions/changed-files after the March breach
- Flag Docker images built with compromised Trivy scanner versions
- Detect Log4j usage in transitive dependencies across all Java services
Internal Standards
- Flag repos still importing our deprecated internal auth library
- Ensure every service has a catalog-info.yaml with a valid team owner
- Verify all Terraform modules reference our internal module registry
- Ensure Helm charts inherit from our approved base chart
- Require the team's standard .editorconfig in every repo
- Enforce our naming convention for Kubernetes namespaces
Compliance & Audit
- Require valid Jira ticket references on every PR for SOC 2
- Verify SBOMs are generated and uploaded for every release artifact
- Block packages with GPL or AGPL licenses in proprietary codebases
- Ensure license headers are present in all source files
- Validate that every container image is signed before deployment
Migrations
- Block Python 3.9 Lambda functions now that it has reached end of life
- Flag repos still using AWS SDK v1 instead of v2
- Detect services still on the deprecated logging framework
- Flag repos pulling images from Docker Hub instead of our private ECR
- Block creation of new Jenkins pipelines — all new projects use GitHub Actions
Operational Readiness
- Require a linked runbook in every production service README
- Require OpenTelemetry tracing in all Go services before production
- Ensure every Kubernetes deployment has liveness and readiness probes
- Verify all services define an on-call rotation in PagerDuty
- Require resource limits on all Kubernetes workloads to prevent cost overruns
AI Generates Code Fast.
Guardrails Ensure It Ships Right.
Lunar provides deterministic enforcement of engineering standards for developers and AI agents — at every stage of the SDLC.
Turn Standards
into Code
Replace rubber-stamped checklists, compliance docs, and AI prompt rules with automated enforcement. Apply standards consistently across every deployment, every time.
Guardrails for
AI-Generated Code
Prompts are suggestions, not constraints. Lunar enforces hard rules through deterministic feedback in the AI's dev-test loop — works with Claude Code, Cursor, Codex, and more.
Enforce at
Every Stage
Same guardrails, same engine: agent hooks during authoring, PR checks before merge, deploy gates before production. No other tool inserts at all three points.
100+ Guardrails
Out of the Box
Battle-tested guardrails for reliability, quality, security, and compliance. Need something specific? One prompt creates a new guardrail in minutes.
Learn moreFast Track
Post‑Mortems
68% of post-mortems are triggered by code and config changes.Google SRE Enforce new engineering behaviors at scale without manual coordination.
Surface Issues Early,
Guide Proactively
Avoid surprising engineers with last-minute deployment blockers. Turn hated top-down mandates into helpful guidance that developers and AI agents actually follow.
Write Once, Enforce Everywhere
Same policies. Same evaluation engine.
Every stage of your development lifecycle.
- Fires on every file edit during authoring
- Agent self-corrects in real-time
- Automated checks on every pull request
- Block or report per guardrail
- Checks repo + SHA against policy results
- Blocks deploy on failure
Automated Guardrails that put control back into the hands of Platform Engineering
Define Standards Once
Write your testing, security, infrastructure, platform, and compliance policies as code. Built-in AI skills turn incidents, zero-days, and new requirements into enforced guardrails in minutes.
Enforce Everywhere
Automatically instrument all your codebases centrally. No migration or repo-by-repo integration required.
Real-Time Feedback
Developers and AI agents get instant feedback on standards adherence. Fix issues before merge, not at release time.
Complete Visibility
Evidence is a byproduct of enforcement — not a separate exercise. Real-time adherence across every service, continuously audit-ready.
Gradual Enforcement
Start with visibility, add scoring, then blocking. Bring teams along willingly.
Works With Your Stack
Works with GitHub, GitLab, and any CI/CD platform. Complements policy tools like OPA.
AI generates code fast. Guardrails ensure it ships right.
Human review shifts from catching violations to
evaluating intent and design.
100+ Guardrails Included
Enforce standards across reliability, quality, security, and compliance — for human-written and AI-generated code alike.
Ready to Automate Your Standards?
See how Lunar can turn your AGENTS.md, engineering wiki, compliance docs, or postmortem action items into automated guardrails with our 100+ built-in guardrails.