AIAC: Artificial Intelligence Infrastructure-as-Code Generator
The AIAC (Artificial Intelligence Infrastructure-as-Code) project is an innovative tool that simplifies the generation of infrastructure code by leveraging powerful language models like those from OpenAI, Amazon Bedrock, and Ollama. This tool is designed to assist developers in automating various coding tasks efficiently, thereby streamlining their workflows significantly.
Description
AIAC operates as both a library and a command line interface (CLI) that enables users to create a variety of code templates. These templates cover a broad spectrum of areas, including Infrastructure as Code (IaC), configuration files, CI/CD pipelines, and more. By using AIAC, developers can avoid the manual creation of complex scripts, instead utilizing AI capabilities to generate the necessary code. This approach not only saves time but also reduces potential errors.
AIAC users can easily request code generation for specific tasks or scenarios, such as setting up an AWS EC2 instance with Terraform. The generated code can be saved to files or displayed on the screen, offering flexibility depending on the user’s needs.
Use Cases and Examples
AIAC provides a wide range of applications through example prompts that allow users to generate desired configurations quickly. Here are some common use cases:
- Generate IaC: Create code for cloud infrastructure using tools like Terraform, Pulumi, or CloudFormation.
- Example:
aiac terraform for a highly available eks
- Example:
- Configuration Files: Generate Dockerfiles or Kubernetes manifests with specific requirements.
- Example:
aiac dockerfile for a secured nginx
- Example:
- CI/CD Pipelines: Automatically generate scripts for systems like Jenkins or GitHub Actions.
- Example:
aiac jenkins pipeline for building nodejs
- Example:
- Policy as Code: Develop policies for platforms like OPA (Open Policy Agent).
- Example:
aiac opa policy that enforces readiness probe at k8s deployments
- Example:
- Utilities: Quickly create scripts for network scanning or managing terminal sessions.
- Example:
aiac python code that scans all open ports in my network
- Example:
- Command Line and Query Builders: Facilitate the construction of complex command-line queries and database queries.
- Example:
aiac kubectl that gets ExternalIPs of all nodes
- Example:
Instructions
Installation
Installing AIAC is straightforward and can be accomplished through various methods:
- Brew: Install by tapping the AIAC repository or downloading directly via Homebrew.
- Docker: Pull the AIAC image using Docker for a containerized workspace.
- Go Install: Use Go to install the latest version of AIAC.
- Build from Source: Clone the repository and build AIAC locally on your machine.
Configuration
Configuring AIAC involves setting up a simple TOML configuration file. This file allows users to define different backends, each associated with a specific language model provider. Users can specify details like API keys and endpoint URLs, tailoring the setup to their specific environment and requirements.
Usage
Once configured, AIAC can be used via the command line to generate code based on user-defined prompts, effortlessly integrating into existing workflows. Users can also interact with AIAC programmatically by using it as a Go library, making it highly versatile for various project needs.
In summary, AIAC stands out as a robust solution for developers looking to automate and simplify their infrastructure and coding processes by harnessing the capabilities of advanced language models.