I built Controlinfra because I was tired of spending hours figuring out why my Terraform plan showed unexpected changes.
Someone tweaks a security group in the AWS console, or auto-scaling modifies something, and suddenly you have 40+ lines of drift to debug.
Controlinfra:
- Scans your infrastructure automatically
- Detects drift between your Terraform code and actual cloud state
- Uses AI (Claude or OpenAI) to analyze root cause
- Generates a fix and opens a PR
- I also added self-hosted runners to maximize security for enterprise terraformstate files
It supports AWS, Azure, and GCP. Free tier includes 10 AI-analyzed scans/month, or bring your own API key for unlimited.
I'd love feedback from anyone managing Terraform at scale. What's missing? What would make this useful for your workflow?
I built Controlinfra because I was tired of spending hours figuring out why my Terraform plan showed unexpected changes.
Someone tweaks a security group in the AWS console, or auto-scaling modifies something, and suddenly you have 40+ lines of drift to debug.
Controlinfra: - Scans your infrastructure automatically - Detects drift between your Terraform code and actual cloud state - Uses AI (Claude or OpenAI) to analyze root cause - Generates a fix and opens a PR - I also added self-hosted runners to maximize security for enterprise terraformstate files
It supports AWS, Azure, and GCP. Free tier includes 10 AI-analyzed scans/month, or bring your own API key for unlimited.
I'd love feedback from anyone managing Terraform at scale. What's missing? What would make this useful for your workflow?