fabro/docs/public/reference/acknowledgements.mdx
Bryan Helmkamp 283eab181f
refactor(docs): split docs/ into public/ and internal/
Invert the docs convention so the Mintlify-published site lives under
docs/public/ and internal artifacts (strategy docs, brainstorms, plans,
etc.) sit at docs/ root or docs/internal/. Tools that default to writing
into docs/ now land in the catch-all instead of leaking into the
published tree.

- Move Mintlify content (administration/, agents/, api-reference/,
  changelog/, core-concepts/, examples/, execution/, getting-started/,
  human-tools/, integrations/, languages/, reference/, tutorials/,
  workflows/, images/, logo/, docs.json, favicon.svg, dot-highlight.js)
  into docs/public/.
- Collapse docs-internal/ into docs/internal/.
- Update Rust path references (fabro-api/build.rs, fabro-server,
  fabro-dev), TypeScript generator arg, CI path filters, clippy.toml
  reasons, AGENTS.md/CLAUDE.md, and README.md image refs.

Mintlify dashboard project root must be updated to docs/public/ in a
follow-up. .mintignore move/trim and .claude/skills/ updates land in a
separate commit.
2026-04-27 07:21:13 -07:00

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---
title: "Acknowledgements"
description: "Projects and people that inspired Fabro"
---
## Attractor
Fabro was inspired by [Attractor](https://github.com/strongdm/attractor), created by [Justin McCarthy](https://github.com/strongdm) at [StrongDM](https://www.strongdm.com/). Attractor pioneered the idea of orchestrating AI coding agents with graph-based workflows, and its design deeply influenced Fabro's architecture.
[Dan Shapiro](https://github.com/danshapiro)'s [Kilroy](https://github.com/danshapiro/kilroy), an independent implementation of the Attractor concept, was also a helpful reference during Fabro's development.
## AI researchers and labs
Fabro is built on top of the large language models produced by leading AI research labs, including [Anthropic](https://www.anthropic.com/), [OpenAI](https://openai.com/), and [Google DeepMind](https://deepmind.google/). Their foundational work in AI research and model development makes agentic coding workflows possible. Fabro wouldn't exist without the breakthroughs these teams and the broader AI research community have achieved.