One post tagged with "architecture"

Most CLI tools are collections of disconnected commands. You run git commit, then npm test, then some custom deploy script. Each command operates in isolation, unaware of the others. This works fine for human developers who understand the bigger picture, but it's catastrophic for AI agents.

AI agents need a CLI that understands context, maintains state, and coordinates across the entire development lifecycle. They need a unified command system that thinks about your project holistically.

The Problem with Traditional CLIs​

Traditional development workflows involve dozens of tools:

# Version control
git checkout -b feature/new-feature
git add .
git commit -m "Add feature"
git push origin feature/new-feature

# Testing
npm test
npm run lint
npm run coverage

# Requirements
# ... probably a separate system (Jira? Docs?)

# Deployment
# ... custom scripts that live somewhere

# Documentation
# ... manual process

Problems:

• No coordination between commands
• No shared context across tools
• No validation that workflow steps are followed correctly
• No traceability from requirements to deployment
• No AI guidance on what to do next