Stop setting up projects manually. Let AI agents do it for you.
Hey everyone 👋
I'm Harvey --- a DevOps engineer who spends way too much time setting
up the same environments over and over again.
- Recreating configs
- Rewriting boilerplate
- Reinstalling tools
- Rebuilding workflows
So I built something to fix that.
👉 Meet Hailow: an AI agent--driven CLI that bootstraps your
engineering workspace in seconds.
🔗 GitHub: https://github.com/Harvey-N-Lab/hailow
🤯 The Problem
Every time you start a new project:
- You recreate your environment from scratch\
- You configure tools manually\
- You copy configs from old repos\
- You lose time before writing actual code
And even worse...
👉 Your workflow isn't consistent across projects\
👉 Your setup isn't reusable\
👉 Your knowledge isn't structured
⚡ The Idea
What if your setup was:
- reusable\
- composable\
- automated\
- powered by AI agents
That's what Hailow does.
🧠 What is Hailow?
Hailow is a CLI that installs domain-specific AI agent workflows into
your workspace.
Each domain includes:
- 🤖 agents (researcher → planner → architect → implementer → reviewer)\
- 📏 rules (best practices & standards)\
- 🧰 skills (via
npx skills)\ - ⚙️ commands (workflow automation)\
- 🧠 contexts (project-specific knowledge)
⚡ Install
Download the latest binary:
curl -sSL https://raw.githubusercontent.com/Harvey-N-Lab/hailow/master/scripts/install.sh | bash
Verify installation:
hailow --version
🚀 Usage
Install a domain
hailow install python-backend-engineer
Install multiple domains
hailow install devops-engineer js-ts-software-engineer
Install all domains
hailow install all
🤖 Choose agent platform
Hailow supports:
- Roo Code\
- Claude Code
hailow install python-backend-engineer --platform roo
hailow install devops-engineer --platform claude
🧰 Install skills (optional)
Example for Python backend:
npx skills install python-backend
📁 What gets installed
After running Hailow, your workspace will include:
.claude/ or .roo/
agents/
rules/
skills/
commands/
contexts/
Each domain provides:
- structured AI agent workflow\
- reusable configs\
- domain-specific best practices
⚡ Example workflow
hailow install devops-engineer python-backend-engineer
👉 Your workspace is instantly ready with DevOps + backend workflows.
💥 That's it
From zero → structured AI workflow in one command.
Give it a try and let me know what you think 🚀
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