Minimalist pipeline: Linux console + Python + local inference runtime + open-source model. From a structured prompt, the model produces a complete Terraform script including resources, dependencies, and configuration shells. The system is then orchestrated in CI/CD pipelines or shell scripts for deployment. Goal: reduce manual error and standardize infrastructure configurations while keeping the LLM out of the cloud.
Highlights
- Open-source LLM in local inference (no external API)
- Terraform
main.tfgeneration from structured prompt - Inclusion of dependency configuration shells
- Integrable into CI/CD pipelines or automation shells
- Reduction of manual error in IaC writing
- No project data leaves the local machine.
Demonstrative prototype. Reusable pattern for IaC automation contexts.