While current large language models (LLMs) can generate syntactically correct Terraform HCL code, they often miss critical elements like permissions, event triggers, and best practices. Iterative refinement with developer input is necessary to produce deployable, functional stacks. The article suggests using tools like Nitric to provide application context and enforce security, dependencies, and best practices.
An in-depth exploration of using Large Language Models (LLMs) to generate Terraform code for infrastructure as code (IaC), analyzing the capabilities and limitations of LLMs in this domain.
All models struggled with:
- Variable usage (hardcoded values)
- IAM configuration (permissions)
- Security group management
- Target group configuration
While LLMs are promising for IaC, they can be helpful tools for developers.
All models struggled with:
- Variable usage (hardcoded values)
- IAM configuration (permissions)
- Security group management
- Target group configuration
While LLMs are promising for IaC, they can be helpful tools for developers.
Service Development Kit that uses Terraform, AWS ECS, Rust, Actix App, Postgress RDS, LLM, RAG, Cloudflare
• step-by-step guide on how to set up the service development kit, including creating an SSL certificate, setting up Terraform, and configuring Cloudflare.
• Rust, LLM, and RAG in the service development kit.
• step-by-step guide on how to set up the service development kit, including creating an SSL certificate, setting up Terraform, and configuring Cloudflare.
• Rust, LLM, and RAG in the service development kit.
