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AI review and gates for Azure infra-as-code
A practical Cloudeval AI workflow for reviewing, explaining, and gating Azure infrastructure-as-code before production.
Read by workflow
- Reviewers
- Platform teams
- Agents
Review before merge
Add Cloudeval review comments, artifacts, and gates to pull requests.
Understand findings
Move from posture, cost, and issue summaries into evidence-backed review.
Explore the workflow
Pull-request review
Review comments, CI artifacts, and merge gates for infrastructure changes.
Reports and evidence
Posture, cost, issues, maturity, and evidence freshness in one surface.
CLI and agents
Project-aware terminal, MCP, and agent workflows from the same docs model.
Use with any AI assistant
Copy this prompt into ChatGPT, Claude, Codex, Cursor, or your internal assistant to get a docs-grounded Cloudeval overview.
Ask an AI assistant to learn Cloudeval from these docs.
Related pages
Quickstart
Choose the fastest path from account setup to a first cost and architecture report.
How Cloudeval works
Understand how sources, projects, reports, and evidence fit together.
GitHub Actions integration
Add Cloudeval review comments, artifacts, and merge gates to pull requests.
Run your first reports
Generate cost and architecture outputs from a Cloudeval project.
MCP client setup
Give Codex, Cursor, Claude, and other MCP clients project-aware Cloudeval context.