aiac

AIAC uses LLMs to generate infrastructure-as-code: Kubernetes manifests, Dockerfiles, CI/CD configs, all from plain English prompts. Instead of looking up the exact syntax for an AWS security group or a Helm chart values file, you describe what you want and AIAC produces the code.

Go, Apache 2.0. It's a CLI tool that connects to OpenAI, Amazon Bedrock, or Ollama (for local models). You run `aiac get terraform for an s3 bucket with versioning enabled` and it returns the HCL. Supports Terraform, Pulumi, CloudFormation, Ansible, Docker, Kubernetes, GitHub Actions, and more.

Fully free as a tool, but you pay for the LLM API calls behind it. Using OpenAI's GPT-4, that's roughly $0.01-0.10 per generation depending on complexity. Using Ollama with a local model, it's free but quality varies. Solo developers: useful for scaffolding infrastructure you don't write every day. Saves the 20 minutes of docs-reading for unfamiliar providers. Small to medium teams: helpful for standardizing templates, but review everything it generates; LLMs hallucinate resource attributes.

The catch: zero star velocity and the homepage URL points to a Wikipedia article about LLMs, which is not confidence-inspiring. The generated code needs human review; treat it like a first draft, not a production artifact. And if you're already using GitHub Copilot or Claude in your editor, you get this same capability without a separate tool.