This content originally appeared on DEV Community and was authored by Aravind d
This is a submission for the Runner H "AI Agent Prompting" Challenge
What I Built :->
Runner AI is a smart assistant designed to proactively monitor Terraform configurations for Azure infrastructure. It works by scanning the official Terraform Registry for all azurerm_* resources—such as azurerm_app_service, azurerm_virtual_machine, and others and intelligently extracting critical annotations like:
⚠️ Warning: Highlights breaking changes, deprecated arguments, or known limitations.
📝 Note: Provides essential usage guidance or edge-case behaviors often missed during development.
Once collected, this metadata is instantly forwarded to a designated Slack channel, keeping your engineering team informed and ready to act—without needing to dig through documentation manually.
Automation AI helps DevOps and SRE teams to:
📣 Stay informed of Terraform provider changes
🔎 Reduce configuration risks and technical debt
🤖 Automate visibility into infrastructure-as-code updates
💬 Foster team-wide awareness via real-time Slack integration
This tool turns passive documentation into active, actionable alerts, ensuring your cloud infrastructure is both compliant and future-ready.
Proff of concept
See the live example in action.
Results:
Runner H >
My Prompt:
!(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7599i502w572j2f8ph1z.png)
Slack:
!(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9bq5xvr79qn9mestlgte.png)
From Terraform Doc:
How I Used Runner H
The Runner H AI offers an interactive experience by dynamically fetching Terraform azurerm provider resources—like azurerm_virtual_machine—extracting critical warnings, notes, and deprecation alerts, and instantly pushing them to Slack for real-time visibility and collaboration."
Use Case & Impact
For Site Reliability Engineers (SREs):
SREs are focused on maintaining reliability, availability, and performance. This helps them by continuously monitoring Terraform azurerm provider changes—especially Note: and Warning: sections that often hint at deprecated features, required configuration changes, or platform limitations. By surfacing these alerts directly in Slack, SREs can act proactively before issues affect production, ensuring high system uptime and avoiding last-minute firefighting.
For DevOps Engineers:
From a DevOps perspective, infrastructure-as-code (IaC) must be accurate, up-to-date, and compliant. This runner AI tool automates the scanning of Terraform documentation to catch critical updates, helping teams avoid misconfigurations during CI/CD runs. It becomes a part of the DevOps feedback loop, improving visibility, reducing human error, and aligning deployments with the latest Azure standards—without requiring constant manual review.
Social Love
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yxqbms9c3twvosa192p0.png)
Conclusion:
🤖 What if your Terraform could talk back?
Mine does.
👀 Meet Runner h AI — it reads the docs, catches the warnings, and drops a Slack ping before your pipeline fails.
Thanks :-)
Shoutout to the Runner H and DEV team — building this was a ton of fun and surprisingly useful in real-world scenarios!@runnerH Thanks for this opportunity
Terraform #DevOps #AI #IaC
Future Developments:
- Integration with MCP Portals and A2A Automation
We're planning to integrate Runner AI with Managed Cloud Platforms (MCP) and enable App-to-App (A2A) automation workflows. This will allow seamless error tracking, policy compliance, and infrastructure updates directly from centralized cloud management portals.
- Compliance Tagging & Risk Scoring
Automatically tag resources based on detected risk (e.g., high, medium, low) and generate compliance reports for audits.
This content originally appeared on DEV Community and was authored by Aravind d

Aravind d | Sciencx (2025-06-28T19:54:05+00:00) No More Surprises: Get Notified on Terraform Deprecations. Retrieved from https://www.scien.cx/2025/06/28/no-more-surprises-get-notified-on-terraform-deprecations/
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