Infrastructure as Code Generator

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source generator that turns natural language descriptions into production-quality Terraform, OpenTofu, and Pulumi code.

This project aims to lower the IaC authoring skill barrier by translating plain-language intent into idiomatic, multi-cloud infrastructure code. It targets platform engineers, DevOps leads, SREs, and developers who need to provision cloud environments without deep HCL or Pulumi expertise, while preserving the plan/apply review workflow that operators already trust.

Why Infrastructure as Code Generator?

HCL verbosity and state management complexity remain the dominant adoption barriers to Terraform, which still commands roughly 76% practitioner share (CNCF 2024).
HashiCorp's Business Source Licence change drove the OpenTofu fork; an open-source generator targeting MPL 2.0 OpenTofu output sidesteps BSL restrictions for downstream users.
Existing AI-native generators (Pulumi Neo, Firefly AIaC, StackGen) are either tied to proprietary SaaS, custom-priced, or limited to single-format output.
General-purpose assistants like GitHub Copilot and Amazon Q Developer lack cloud state awareness and frequently hallucinate provider attributes for less common resources.
Most tools generate functional but insecure code; security-by-default and integrated cost estimation are gaps across the incumbent landscape.

Key Features

Natural Language Generation

Prompt-driven generation of modular Terraform/OpenTofu HCL (not monolithic main.tf files)
Multi-cloud first-class support for AWS, Azure, and GCP
Iterative conversational refinement within a session ("make this highly available across three AZs and add a read replica")
Optional Pulumi (TypeScript/Python) output for teams preferring general-purpose languages

Security and Policy

Built-in security scanning on every generated output via Checkov or OPA rules
Security-by-default generation embedding CIS benchmark controls, encryption at rest, and least-privilege IAM
Policy-as-code enforcement compatible with OPA/Rego

Developer Workflow

CLI with explicit plan-preview diff before any apply action
Git/VCS integration for PR-based review workflows
MCP server interface so MCP-compatible AI assistants (Claude Code, Cursor, Copilot) can drive generation
Module registry lookup: recommend existing modules before generating from scratch

Cloud Awareness

Read existing provider state before generating to avoid resource conflicts and drift
Automated cost estimation projected before terraform apply
Drift detection signalled back into the conversational loop

AI-Native Advantage

Unlike general-purpose code assistants, this project reads existing cloud state via provider APIs before generation, preventing the resource conflicts and hallucinated attributes common in stateless prompt-based tools. Security controls, least-privilege IAM, and encryption defaults are embedded into generated code rather than added as a later scan. Conversational refinement and module recommendation reduce the prompt engineering burden currently required to produce production-quality IaC.

Tech Stack & Deployment

The MVP targets OpenTofu-compatible HCL (MPL 2.0) as the primary output to avoid Terraform BSL constraints, with Pulumi output planned for v1.1. Deployment is CLI-first for power users and CI/CD pipelines, with an MCP server interface for IDE-embedded AI assistants. Standards alignment includes HCL, OPA/Rego for policy, GitOps via Flux/ArgoCD-compatible repository layouts, and CIS Benchmarks for security baselines. An air-gapped/local inference mode for enterprises without cloud connectivity is on the backlog.

Market Context

The IaC market was estimated at $2.2B in 2025 and is projected to reach $12.9B by 2032 at a 28.6% CAGR (Precedence Research); a separate estimate from GM Insights puts 2025 at $1.3B growing to $9.4B by 2034 at 24.4% CAGR. IBM's $6.4B acquisition of HashiCorp in 2024 reflects strategic value in the category, while Pulumi raised a $41M Series C in October 2023. Primary buyers are platform engineering teams, cloud infrastructure engineers, DevOps leads, and SREs at cloud-native organisations; incumbent pricing ranges from free OSS (OpenTofu) to $20/user/month (Terraform Cloud) and per-deployment-minute fees (Pulumi at $0.01/minute), with most AI-native generators custom-priced.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. Source files note OpenTofu (MPL 2.0), AIaC CLI (MIT), and Pulumi engine (Apache 2.0) as compatible open-source references; the project should target a permissive licence aligned with OpenTofu output.