Workflow Snapshot & Replay - AI-Native Development Workflow Extension

What is Workflow Snapshot & Replay?

Imagine having a smart assistant that watches how you code, learns from your development patterns, and helps you become more productive. That's exactly what Workflow Snapshot & Replay does!

The Problem We Solve

• Lost Development Knowledge: How did you build that feature last month?
• Inefficient Workflows: Repeating the same mistakes without realizing
• Knowledge Sharing: Difficulty showing teammates your development process
• Learning Curve: New developers struggling to understand project workflows

Our Solution

Workflow Snapshot & Replay automatically:

1. Records every action you take while coding
2. Analyzes your workflow with advanced AI
3. Documents your process in beautiful Markdown reports
4. Replays your workflow on any machine, anytime

Key Features

Automatic Workflow Recording

• Zero Setup: Just click "Start Recording" and work normally
• Complete Capture: Files, edits, terminal commands, everything
• Smart Filtering: Only captures meaningful development activities
• Background Operation: Never interrupts your flow

Advanced AI Analysis (No API Key Required!)

File-Level Deep Analysis

• Code Quality Scoring: Each file gets a quality score (0-100)
• Pattern Recognition: Detects programming patterns and architectures
• Function Analysis: Identifies functions, imports, and code structure
• Language Detection: Automatically recognizes 15+ programming languages

Project-Level Intelligence

• Project Type Detection: React, Python, Java, .NET projects
• Architecture Analysis: MVC, Component-Service, Monolithic patterns
• Framework Recognition: Django, Express, Spring Boot, and more
• Best Practice Recommendations: Tailored to your tech stack

Real-Time Insights

Example AI Analysis:
 Project Type: Python Data Analysis Project
 Architecture: Script-based with modular functions
 Files Analyzed:
  • data_analyzer.py: Quality 85/100, Functions: analyze_data, generate_plot
  • requirements.txt: Dependency management, Suggestion: Pin versions
  • README.md: Documentation, Quality 70/100
  Recommendations:
  • Add error handling for HTTP requests
  • Setup virtual environment
  • Consider adding unit tests

Beautiful Documentation

• Markdown Reports: Professional, shareable documentation
• Timeline View: Step-by-step development process
• Visual Insights: Charts and metrics about your workflow
• Export Options: Share with team or save for later

Intelligent Replay

• Cross-Platform: Record on Windows, replay on Mac/Linux
• Smart Reproduction: Automatically recreates files, folders, commands
• Educational Tool: Perfect for tutorials and onboarding
• Debugging Aid: Reproduce bugs exactly as they occurred

Seamless Integration

• Explorer Dashboard: Control everything from VS Code's Explorer panel
• One-Click Actions: Start, stop, analyze, replay with single clicks
• Command Palette: Full keyboard shortcut support
• No Context Switching: Everything happens within your editor

How It Works

Step 1: Record Your Workflow

1. Open your project in VS Code/Cursor
2. Find "Workflow Snapshot & Replay" in Explorer panel
3. Click "▶️ Start Recording"
4. Code normally - create files, edit code, run commands
5. Click "⏹️ Stop Recording" when done

Step 2: Get AI Analysis

1. Click "🤖 AI Assistant" in the dashboard
2. Choose your analysis type:
   • "Analyze Current Workflow" - Deep file and project analysis
   • "Get Development Suggestions" - Personalized recommendations
   • "Optimize Workflow" - Find inefficiencies and improvements
   • "Explain Workflow" - Understand what you accomplished

Step 3: Share and Replay

1. Click "📋 Generate Report" for beautiful Markdown documentation
2. Share the report with your team or save for reference
3. Use "🔄 Replay Workflow" to reproduce the same steps anywhere
4. Perfect for tutorials, debugging, or onboarding new developers

AI Analysis Examples

For a React Project:

 Analysis Results:
• Project Type: React Frontend Project
• Architecture: Component-Service Architecture
• Languages: TypeScript, CSS, Markdown
• App.tsx: Quality 92/100, Functions: useState, useEffect
  └ Patterns: React Hooks, Component Architecture
• UserService.js: Quality 88/100, Functions: fetchUser, updateProfile
  └ Patterns: API Integration, Async Programming

 Smart Recommendations:
• App.tsx: Consider using React.memo for performance
• UserService.js: Add error boundaries for API calls
• Project: Setup ESLint and Prettier for consistency

For a Python Data Project:

 Analysis Results:
• Project Type: Python Data Analysis Project  
• Architecture: Script-based with modular functions
• Languages: Python, Markdown
• data_processor.py: Quality 78/100, Functions: load_data, clean_data
  └ Patterns: Data Analysis, Scientific Computing
• visualization.py: Quality 85/100, Functions: create_charts, save_plots
  └ Patterns: Data Visualization, Matplotlib Integration

 Smart Recommendations:
• data_processor.py: Add type hints for better documentation
• visualization.py: Consider using Seaborn for better plots
• Project: Add requirements.txt with pinned versions

Quick Start

Installation

1. Download: Get workflow-snapshot-replay-0.1.0.vsix from releases
2. Install: In VS Code/Cursor → Extensions → "Install from VSIX"
3. Find Dashboard: Explorer panel → "Workflow Snapshot & Replay"
4. Start Recording: Click "▶️ Start Recording" and begin coding!

First Workflow

1. Record: Create a few files, write some code, run terminal commands
2. Analyze: Use AI Assistant to get insights about your workflow
3. Share: Generate a beautiful Markdown report
4. Replay: Try replaying your workflow in a new folder

Use Cases

Education & Training

• Code Tutorials: Record coding sessions for students
• Best Practices: Show proper development workflows
• Onboarding: Help new team members learn your processes

Debugging & Quality

• Bug Reproduction: Record exact steps that cause issues
• Code Reviews: Share your development process with reviewers
• Performance Analysis: Identify slow or inefficient workflows

Documentation

• Process Documentation: Automatically document how features are built
• Knowledge Sharing: Share development knowledge across teams
• Compliance: Track development processes for audits

Productivity

• Workflow Optimization: AI identifies ways to work more efficiently
• Pattern Learning: Learn from your most productive sessions
• Automation: Convert repetitive workflows into automated scripts

Why Choose Workflow Snapshot & Replay?

Privacy First

• All analysis happens locally on your machine
• No data sent to external servers (unless you choose to)
• Your code stays private and secure

AI Without API Keys

• Advanced AI analysis works offline
• No subscription fees or API costs
• Smart enough to provide real value from day one

Universal Compatibility

• Works with any programming language
• Compatible with any project structure
• Supports all major frameworks and tools

Professional Quality

• Enterprise-ready security and privacy
• Beautiful, shareable documentation
• Reliable workflow reproduction

Support & Community

Getting Help

• GitHub Issues: Report bugs and feature requests
• Documentation: See KULLANIM_KILAVUZU.md and KURULUM.md
• Community: GitHub Discussions

Community Resources

• GitHub: Workflow Snapshot & Replay Repository
• Issues: Report bugs and feature requests
• Wiki: Advanced usage examples

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Acknowledgments

• Inspired by the need for better development workflow documentation
• Built for the AI-native development era
• Powered by the amazing VS Code extension ecosystem
• Thanks to the TypeScript and Node.js communities

Developer

Mustafa Barış Arslantaş

• Made in Turkey 🇹🇷
• Passionate about AI-native development and developer productivity
• Copyright © 2025 Mustafa Barış Arslantaş
• Contact: GitHub Profile