SpecPulse v2.7.5

The Complete AI-Enhanced Development Framework

Build better software with specifications first, powered by AI assistants across 8 major platforms

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🚀 What Makes SpecPulse Revolutionary?

SpecPulse is not just another CLI tool - it's a complete development framework that bridges the gap between your ideas and production code. By combining structured specifications with AI-powered assistance, SpecPulse transforms how you build software.

🎯 The Core Problem We Solve

Traditional development is chaotic:

❌ Ideas jump directly to coding without proper planning
❌ Requirements get lost in scattered documentation
❌ AI assistants lack context about your project structure
❌ Teams work without clear specifications or task breakdowns

✅ Our Solution: Specification-Driven Development

SpecPulse introduces AI-Enhanced Specification-Driven Development:

Specifications First - Clear, detailed specs before any code
AI-Powered - Your favorite AI assistant helps create and expand specs
Structured Planning - Break down features into manageable tasks
Universal Integration - Works across 8 major AI platforms
CLI Foundation - Reliable command-line structure with AI enhancement

🤖 Universal AI Platform Support

SpecPulse works everywhere you work - supporting 8 major AI platforms with identical functionality:

| Platform | Integration Type | Commands | Status | |----------|------------------|----------|--------| | Claude Code | Custom Slash Commands | /sp-* | ✅ Full Support | | Gemini CLI | Custom Commands | /sp-* | ✅ Full Support | | Windsurf | Custom Slash Commands | /sp-* | ✅ Full Support | | Cursor | Custom Slash Commands | /sp-* | ✅ Full Support | | GitHub Copilot | Custom Prompts | .prompt.md | ✅ Full Support | | OpenCode | Agent-Based Workflow | /sp-* | ✅ Full Support | | Crush | Category Commands | /sp-* | ✅ Full Support | | Qwen Code | TOML Configuration | /sp-* | ✅ Full Support |

🔄 Identical Experience Across All Platforms

The same 11 commands work everywhere with identical functionality:

# These commands work identically on ALL 8 platforms:
/sp-pulse payment-system          # Initialize new feature - START HERE
/sp-spec "User authentication"    # Create specification
/sp-plan                          # Generate implementation plan
/sp-task                          # Break down into tasks
/sp-execute                       # Execute tasks continuously
/sp-status                        # Check progress
/sp-validate                      # Validate work
/sp-continue feature-id           # Switch to existing feature
/sp-decompose spec-id             # Decompose specifications
/sp-clarify spec-id               # Clarify requirements
/sp-llm-enforce [action]          # LLM compliance enforcement

🎯 IMPORTANT: Always start with /sp-pulse - this is your entry point to everything!

🎯 The Magic: How SpecPulse Works

The CLI-AI Partnership

SpecPulse uses a revolutionary CLI-First with AI Enhancement approach:

You: /sp-spec "OAuth2 authentication system"
  ↓
Step 1: CLI Creates Foundation (Always Works)
   specpulse spec create "OAuth2 authentication system"
   ✓ Creates empty spec file
   ✓ Adds metadata and structure
   ✓ Updates project directories
  ↓
Step 2: AI Enhances Content (Safe Operations)
   AI reads created file
   AI adds detailed requirements and technical specs
   AI enhances with comprehensive documentation
  ↓
Result: Complete, detailed specification ready for development

Why This Approach Is Game-Changing

✅ CLI First: Creates reliable, cross-platform structure that never fails ✅ AI Enhanced: Leverages AI for what it does best - detailed content creation ✅ Fallback Protection: Work continues even if CLI fails ✅ Platform Independence: Works identically on Windows, macOS, Linux ✅ Safe Operations: AI only works on files CLI has created

🚀 Getting Started: Your Complete First Project

Let's build your first feature with SpecPulse step by step:

Step 1: Installation and Project Setup

# Install SpecPulse
pip install specpulse

# Create your first project (choosing your AI platform)
specpulse init my-awesome-project --ai claude
cd my-awesome-project

Project Structure Created:

my-awesome-project/
├── .specpulse/          # All your project data (specs, plans, tasks)
├── .claude/             # Claude Code commands (auto-deployed)
├── README.md
└── package.json

Step 2: Initialize Your First Feature

# THE WAY TO START - AI-Powered Approach
# In your AI assistant (Claude, Gemini, Windsurf, Cursor, etc.):
/sp-pulse user-authentication

What happens:

✅ Creates feature directory: specs/001-user-authentication/
✅ Sets up project context and metadata
✅ Updates current working feature tracking
✅ Prepares structured environment for development
✅ Deploys AI platform-specific commands automatically

Step 3: Create Detailed Specification

# In your AI assistant (Claude, Gemini, Windsurf, Cursor, etc.):
/sp-spec "OAuth2 authentication with JWT tokens"

AI-powered specification includes:

🎯 Problem Statement: Clear business problem and solution overview
🔧 Functional Requirements: Complete feature functionality
🔐 Security Requirements: Authentication, authorization, data protection
🎨 User Experience: UI/UX considerations and user flows
🔌 API Design: Endpoint specifications and data contracts
💾 Data Models: Database schemas and relationships
✅ Acceptance Criteria: How to verify the implementation works

Step 4: Generate Implementation Plan

# In your AI assistant (works on all platforms):
/sp-plan

AI generates comprehensive plan:

🏗️ Architecture Decisions: Technology choices and system design
📁 File Structure: What files need to be created/modified
🔄 Implementation Steps: Sequential development approach
🔗 Dependencies: What needs to be built first
⏱️ Time Estimates: Realistic development timelines
🧪 Testing Strategy: How to ensure quality and reliability

Step 5: Break Down into Development Tasks

# In your AI assistant:
/sp-task

AI creates actionable tasks:

---
id: task-001
status: todo
title: "Set up authentication middleware"
description: |
  - What problem does this solve?: Foundation for secure route protection
  - Why is this necessary?: All protected endpoints require authentication
  - How will this be done?: Express middleware with JWT validation
  - When is this complete?: Middleware successfully validates tokens

files_touched:
  - path: src/middleware/auth.js
    reason: "JWT token validation middleware"

goals: ["Secure authentication middleware", "JWT token validation"]

success_criteria: ["Valid tokens pass", "Invalid tokens are rejected"]

dependencies: []
next_tasks: ["task-002", "task-003"]
---

Step 6: Execute Tasks Continuously

# Execute next task and continue automatically
/sp-execute

# OR execute ALL tasks without stopping
/sp-execute all

# OR execute specific task
/sp-execute task-001

What happens during execution:

🎯 Task Selection: Finds next pending task
🔄 Status Update: Marks task as "in-progress"
💻 Implementation: AI writes the actual code
✅ Validation: Ensures requirements are met
📝 Documentation: Updates task status and moves to next

Step 7: Track Progress and Validate

# Check current progress
/sp-status

# Validate all work completed
/sp-validate

💡 Real-World Workflow Examples

Example 1: E-commerce Payment System

# 1. Initialize payment feature
/sp-pulse payment-system

# 2. Create comprehensive specification
/sp-spec "Stripe integration with payment processing, refunds, and subscription management"

# 3. Generate detailed implementation plan
/sp-plan

# 4. Break into development tasks
/sp-task

# 5. Execute all tasks continuously
/sp-execute all

# 6. Review progress
/sp-status

Result in 30 minutes:

✅ Complete payment specification (12 pages)
✅ Implementation plan with 24 tasks
✅ Stripe integration code
✅ Payment processing logic
✅ Refund system
✅ Subscription management
✅ Error handling and logging
✅ Test suite with 95% coverage

Example 2: Real-time Chat Application

# Team collaboration with different AI platforms:
# Backend developer uses Claude Code:
/sp-pulse realtime-chat
/sp-spec "WebSocket-based chat with rooms, typing indicators, and file sharing"

# Frontend developer uses Gemini CLI:
/sp-continue 001-chat
/sp-task

# DevOps engineer uses Windsurf:
/sp-execute task-005  # WebSocket server setup

Result: Seamless collaboration across different AI platforms

🎯 Complete AI Command Reference

Feature Management Commands

`/sp-pulse <feature-name>`

Initialize a new feature with intelligent suggestions

# Examples
/sp-pulse user-authentication
/sp-pulse payment-gateway
/sp-pulse real-time-notifications

What it does:

Creates feature directory structure
Detects project type (web, mobile, API, etc.)
Suggests specification approaches
Sets up project context and metadata

`/sp-continue <feature-id>`

**Swi

Specpulse

Install / Use

README