stream-coding

🥇Gold

Stream Coding is a revolutionary methodology that enhances AI-accelerated development, enabling developers to boost their coding velocity by 10-20x. It provides essential resources like the official SKILL.md and a comprehensive Manifesto for effective implementation.

4240Updated 3w ago

Intermediate15 minutes to implementdevelopment

Saves ~240 min per use

Quick InstallView Source

claude install frmoretto/stream-coding

Works with:

ClaudeCursor

Overview

About This Skill

Use Cases

Accelerate software development cycles

Reduce technical debt in projects

Implement specification-driven development practices

Enhance collaboration among developers

Best For

GrowthCS

Setup & Installation

Quick Install

Terminal

claude install frmoretto/stream-coding

Alternative Install (Git Clone)

git clone https://github.com/frmoretto/stream-coding

Requirements

Claude Code or compatible AI agent
Works with: Claude, Cursor

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as a Stream Coding expert. Provide a step-by-step guide for [COMPANY] to implement Stream Coding in their [INDUSTRY] development workflow. Include specific tools, methodologies, and best practices. Focus on [DATA] integration and optimization.

Example Output

# Stream Coding Implementation Guide for [COMPANY]

## Step 1: Understand the Core Principles

- **Velocity First**: Prioritize speed without compromising quality.
- **AI Acceleration**: Leverage AI tools for repetitive tasks.
- **Continuous Integration**: Implement CI/CD pipelines for seamless deployment.

## Step 2: Tool Selection

- **AI Tools**: Use GitHub Copilot, DeepCode, and SonarQube for code suggestions and reviews.
- **CI/CD Pipelines**: Implement Jenkins, GitLab CI, or CircleCI.
- **Collaboration Tools**: Use Slack, Microsoft Teams, or Discord for team communication.

## Step 3: Training and Onboarding

- **Training Programs**: Conduct workshops and training sessions for developers.
- **Documentation**: Provide comprehensive documentation and resources.
- **Feedback Loops**: Establish regular feedback sessions to improve the process.

## Step 4: Monitoring and Optimization

- **Performance Metrics**: Track key performance indicators (KPIs) such as code velocity, defect rates, and deployment frequency.
- **Continuous Improvement**: Regularly review and optimize the process based on feedback and performance data.

## Step 5: Scaling and Expansion

- **Expand Teams**: Gradually expand the Stream Coding methodology to other teams and projects.
- **Community Building**: Foster a community of practice to share knowledge and best practices.
- **Innovation**: Encourage experimentation and innovation to stay ahead of the curve.