gofireflyio/aiac
Artificial Intelligence Infrastructure-as-Code Generator. observed · 2026-08-28
Health v2 · maintenance only
55/100
- Activity 73
- Release rhythm 8
- Longevity 97
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1365
- days_rel: 673
- days_push: 162
- n_releases_24m: 1
Adoption not part of the score
3786 stars · 295 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
aiac is a command line tool and Go library that uses LLM providers such as OpenAI, Amazon Bedrock, and Ollama to generate Infrastructure-as-Code templates, configuration files, CI/CD pipelines, and policy-as-code from natural language prompts. It composes requests to the selected model backend, saves the generated code to a file or stdout, and supports multiple configurable backends.
Use cases
- generate terraform code from a text prompt
- create dockerfile or kubernetes manifests using an llm
- generate ci/cd pipelines like jenkins or github actions with ai
- write opa policy as code from a description
- generate pulumi or cloudformation templates via chatgpt or bedrock
- use a local llm with ollama to produce infrastructure code
- build shell scripts or query snippets from natural language
When to choose
- you want to scaffold terraform, pulumi, or cloudformation templates quickly from plain-english prompts
- you need to generate dockerfiles, k8s manifests, ci/cd pipelines, or policy-as-code without writing boilerplate by hand
- you want a scriptable cli that can target multiple llm providers including local models via ollama
- you prefer storing generated iac to files or piping it into your existing devops workflow
When to avoid
- you need guaranteed-correct, production-ready infrastructure code without human review, since llm output must be validated
- you require an interactive ide plugin or gui rather than a command line tool
- you cannot access any llm provider (cloud or local) due to network or policy restrictions
- you need deep drift detection or state management for existing infrastructure, which is the job of terraform or pulumi themselves
Facets
cli-tool · maturity active
infrastructure-as-code llm-inference cli infrastructure-as-code cloud-computing artificial-intelligence large-language-models developer-tools cli go cross-platform terraform pulumi cloudformation openai amazon-bedrock ollama iac-generator llm-codegen devops-automation policy-as-code code-generation devops command-line docker
1 source
- readme: https://github.com/gofireflyio/aiac · fetched 2026-08-28 · 6e8750ad520a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gofireflyio/aiac | main | 55 |
For agents
markdown · JSON · MCP: product_card(name="gofireflyio/aiac")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem