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schrod-cli

v1.0.1

Published

AI-driven application framework CLI that displays hierarchical Schrödinger project structure for systematic development workflow

Readme

Schröd Framework

An AI-driven application development framework that implements a hierarchical "Schrödinger project structure" for systematic development workflow. Features both CLI tool and VS Code extension for comprehensive project management.

Features

  • Hierarchical Schrödinger Structure: 4-level hierarchy (App → Domain → Feature → Ticket)
  • AI-Driven Development: Context-aware AI model selection and automatic code generation
  • Dual Interface: CLI tool and VS Code extension for different development preferences
  • Pattern-Based AI Selection: Automatic AI model routing based on node patterns
  • Parallel Execution: Dependency-aware parallel execution of tickets
  • Progress Tracking: Real-time status monitoring and execution metrics

Framework Architecture

The Schröd Framework enforces a strict 4-level hierarchy where each development task exists in quantum-like superposition states:

Level 1 (App): ProjectName@Schröd
├── Level 2 (Domain): Schröd.ui | Schröd.logic | Schröd.test
    ├── Level 3 (Feature): FeatureName@Schröd.[domain]
        └── Level 4 (Ticket): TaskName@Schröd.ticket

Node States

  • Pending: Task not yet started (superposition state)
  • Running: Currently being executed by AI
  • Completed: Successfully implemented
  • Failed: Execution failed, requires attention

Installation

VS Code Extension

  1. Install from VS Code Marketplace (search "Schröd Framework")
  2. Open any project in VS Code
  3. Look for "Schröd Explorer" in the sidebar

CLI Tool

npm install -g schrod-cli

Core Commands

VS Code Extension Commands

  • Schröd: Initialize Project - Set up hierarchical project structure
  • Schröd: Create App Spec - Define application requirements from ideas
  • Schröd: Decompose to UI/Logic - Break down into UI/Logic/Test domains
  • Schröd: Add Feature - Add features to specific domains
  • Schröd: Create Tickets - Generate implementation tickets from features
  • Schröd: Run - Execute individual nodes with AI
  • Schröd: Run All Tickets - Execute all tickets with dependency resolution
  • Schröd: Status - Show project progress and metrics
  • Schröd: Resume Failed - Retry failed executions

CLI Commands

schrod init <project-name>    # Initialize new project
schrod run <node-pattern>     # Execute nodes matching pattern
schrod status                 # Show project status

AI Integration

The framework supports multiple AI providers with intelligent routing:

Default Configuration

{
  "defaultAI": "claude-sonnet-4",
  "aiOverrides": {
    "**/*@Schröd.ui/**": "claude-haiku",
    "**/*@Schröd.logic/**": "claude-sonnet-4", 
    "**/*@Schröd.test/**": "gpt-4"
  },
  "outputDir": "src",
  "parallelExecutions": 3
}

Supported AI Models

  • Claude Sonnet 4 (complex logic, architecture decisions)
  • Claude Haiku (UI components, simple implementations)
  • GPT-4 (testing, documentation)
  • Claude Opus (complex system design)

Development Workflow

  1. Initialize: Create project with Schröd: Initialize Project
  2. Specify: Define app idea with Schröd: Create App Spec
  3. Decompose: Break into domains with Schröd: Decompose to UI/Logic
  4. Add Features: Create features with Schröd: Add Feature
  5. Create Tickets: Generate tickets with Schröd: Create Tickets
  6. Execute: Run implementation with Schröd: Run All Tickets

Configuration Files

Each node maintains specification files:

  • idea.md - Initial concept description
  • requirements.md - Detailed requirements
  • design.md - Design specifications
  • spec.md - Implementation specifications

VS Code Settings

{
  "schrod.showDefaultStructure": true,
  "schrod.defaultAI": "claude-sonnet-4"
}

Requirements

  • VS Code 1.74.0 or higher (for extension)
  • Node.js 18.0.0 or higher
  • AI API keys (Claude, OpenAI, etc.)

Framework Philosophy

The Schröd Framework treats development tasks as quantum-like entities that exist in superposition until "observed" (executed) by AI systems. This approach enables:

  • Systematic Development: Enforced hierarchical structure
  • AI-First Implementation: Heavy reliance on AI for code generation
  • Domain Separation: Clear separation of UI, logic, and testing concerns
  • Progressive Refinement: From high-level ideas to specific implementation

Contributing

Visit our GitHub repository for documentation, issues, and contributions.

License

MIT License - see LICENSE file for details.