🎯 SDLC Agent Workflow

AI-Powered Software Development Life Cycle Automation Platform

Transform your software development process with AI-powered automation. From meeting transcriptions to complete technical documentation, streamline your entire SDLC workflow.

🚀 What is SDLC Agent Workflow?

The SDLC Agent Workflow is a production-ready AI platform that automates key aspects of software development, starting with audio transcription and document generation, with a comprehensive roadmap to become a complete SDLC automation solution.

🎯 Current Capabilities (Production Ready ✅)

🎤 Audio Transcription: High-quality transcription using OpenAI Whisper models
🤖 AI Meeting Analysis: Generate key meeting points and summaries with OpenAI GPT
📋 PRD Generation: Transform discussions into industry-standard Product Requirements Documents
🔧 Android TRD Generation: Convert PRDs into comprehensive Android Technical Requirements Documents
🎨 Figma MCP Integration: Model Context Protocol server for comprehensive Figma design data extraction
📱 Android MCP Integration: AI-powered Android device automation with LLM integration for intelligent mobile testing and interaction
📁 Multi-Format Support: MP3, WAV, M4A, FLAC, AAC, OGG, WMA, MP4, MOV, AVI
⚙️ Configurable Settings: Extensive customization through environment variables

🔮 Future Vision (2025-2026 Roadmap)

Complete SDLC automation platform covering:

Requirements & Planning → Design & Architecture → Development Support → Testing & Quality → Deployment & Operations → Documentation & Knowledge

⚡ Quick Start

Prerequisites

Python 3.10 or higher
OpenAI API key
uv package manager (recommended) or pip

Installation

Clone the repository

git clone [email protected]:tomdwipo/agent.git
cd agent

Install dependencies

# Using uv (recommended)
uv sync

# Or using pip
pip install -r requirements.txt

Configure environment

# Create .env file
cp .env.example .env

# Add your OpenAI API key
echo "OPENAI_API_KEY=your_api_key_here" >> .env

Launch the application

# Using uv
uv run python transcribe_gradio.py

# Or using python directly
python transcribe_gradio.py

Access the interface Open your browser to http://localhost:7860

🎯 Features Overview

✅ Production Features

Feature	Status	Description	Documentation
Audio Transcription	✅ Complete	OpenAI Whisper integration with multi-format support	API Docs
AI Meeting Analysis	✅ Complete	Key points extraction and meeting summaries	API Docs
PRD Generation v1.0	✅ Complete	8-section industry-standard Product Requirements Documents	Feature Docs
Android TRD Generation v1.0	✅ Complete	7-section Android Technical Requirements Documents	Feature Docs
Figma MCP Integration v1.0	✅ Complete	Model Context Protocol server for Figma design data extraction	Feature Docs
Android MCP Integration v1.0	✅ Complete	AI-powered Android device automation with LLM integration for intelligent mobile testing	Setup Guide

📋 Planned Features (2025-2026)

Phase	Timeline	Key Components	Expected Impact
Phase 1: Requirements & Planning	Q3 2025	Enhanced PRD + Project Planning Agent	50% planning time reduction
Phase 2: Design & Architecture	Q4 2025	System Design + UI/UX Design Agents	60% faster architecture documentation
Phase 3: Development Support	Q1 2026	Code Generation + Development Standards	70% boilerplate code reduction
Phase 4: Testing & Quality	Q2 2026	Test Planning + Quality Assurance Agents	80% test coverage automation
Phase 5: Deployment & Operations	Q3 2026	DevOps + Infrastructure Management	90% deployment automation
Phase 6: Documentation & Knowledge	Q4 2026	Documentation + Knowledge Management	75% documentation automation

🏗️ Architecture

System Overview

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   UI Layer      │    │  Service Layer  │    │ Configuration   │
│                 │    │                 │    │                 │
│ • Gradio UI     │◄──►│ • OpenAI Service│◄──►│ • Settings      │
│ • Components    │    │ • Whisper Service│   │ • Constants     │
│ • Interface     │    │ • File Service  │    │ • Environment   │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Technology Stack

Backend: Python 3.10+, OpenAI API, Whisper
Frontend: Gradio (Web UI)
Package Management: uv with pyproject.toml
Configuration: Environment variables with .env support
Testing: Comprehensive test suite with pytest

Project Structure

agent/
├── main.py                 # Main application entry point
├── transcribe_gradio.py    # Gradio interface launcher
├── pyproject.toml         # Project configuration
├── requirements.txt       # Dependencies
├── config/               # Configuration management
│   ├── settings.py       # Application settings
│   ├── constants.py      # System constants
│   └── __init__.py
├── services/             # Core business logic
│   ├── openai_service.py # OpenAI API integration
│   ├── whisper_service.py# Audio transcription
│   ├── file_service.py   # File operations
│   └── __init__.py
├── ui/                   # User interface components
│   ├── gradio_interface.py# Main UI interface
│   ├── components.py     # UI components
│   └── __init__.py
├── tests/                # Test suite
├── demos/                # Demo applications
└── docs/                 # Comprehensive documentation

📚 Documentation

🎯 For Users

Quick Start Guide - Get up and running quickly
Features Overview - Complete feature documentation
User Manual - Comprehensive user guide

🛠️ For Developers

Architecture Overview - Technical system design
API Reference - Complete API documentation
Contributing Guide - Development workflow
Testing Guide - Testing procedures

📋 For Project Managers & Stakeholders

Complete Project Proposal - Full business case and roadmap
Architecture Evolution - Technical progress history
Feature Status Tracking - Development progress

🚀 Usage Examples

Basic Audio Transcription

from services.whisper_service import WhisperService

# Initialize service
whisper = WhisperService()

# Transcribe audio file
result = whisper.transcribe("meeting.mp3")
print(result["text"])

PRD Generation

from services.openai_service import OpenAIService

# Initialize service
openai_service = OpenAIService()

# Generate PRD from meeting transcript
prd = openai_service.generate_prd(transcript_text)
print(prd)

Complete Workflow

Upload Audio → Transcribe meeting recording
Generate Analysis → Extract key points and action items
Create PRD → Transform discussion into structured requirements
Generate TRD → Convert PRD into technical specifications
Download Documents → Export all generated documents

🔧 Configuration

Environment Variables

# OpenAI Configuration
OPENAI_API_KEY=your_api_key_here
OPENAI_MODEL=gpt-4
OPENAI_MAX_TOKENS=4000

# Whisper Configuration
WHISPER_MODEL=base
WHISPER_LANGUAGE=auto

# Application Settings
DEBUG=false
LOG_LEVEL=INFO

Advanced Configuration

See Configuration API Documentation for complete configuration options.

🧪 Development

Setup Development Environment

# Clone repository
git clone [email protected]:tomdwipo/agent.git
cd agent

# Install development dependencies
uv sync --dev

# Run tests
uv run pytest

# Run with development settings
uv run python transcribe_gradio.py

Running Tests

# Run all tests
uv run pytest

# Run specific test file
uv run pytest tests/test_prd_services.py

# Run with coverage
uv run pytest --cov=services

Contributing

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Make your changes
Add tests for new functionality
Run the test suite (uv run pytest)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

See Contributing Guidelines for detailed information.

📈 Project Status & Roadmap

Current Status: Production Ready v1.0 ✅

Core Foundation: Fully functional audio transcription and document generation
Production Features: PRD and Android TRD generation complete
Architecture: Modular, scalable design ready for expansion
Documentation: Comprehensive documentation and testing

Success Metrics by Phase

Phase 1: 50% planning time reduction
Phase 2: 60% faster architecture documentation
Phase 3: 70% boilerplate code reduction
Phase 4: 80% test coverage automation
Phase 5: 90% deployment automation
Phase 6: 75% documentation automation

Complete Workflow Vision

Meeting/Discussion → Transcription → PRD → TRD → Architecture → Code → Tests → Deployment → Documentation

🤝 Community & Support

Getting Help

Documentation: Comprehensive guides in docs/
Issues: Report bugs and request features via GitHub Issues
Discussions: Join community discussions

Contributing

We welcome contributions! See our Contributing Guide for:

Code contribution guidelines
Development setup instructions
Testing requirements
Documentation standards

📊 Metrics & Performance

Current Application Metrics

Features Implemented: 5/5 core features (100%)
Architecture Phases: 3/3 complete (Service Layer, Configuration, UI Components)
Test Coverage: Comprehensive test suite
Production Readiness: ✅ Ready for deployment

Performance Benchmarks

Transcription Speed: Real-time processing for most audio formats
PRD Generation: ~30 seconds for typical meeting transcript
TRD Generation: ~45 seconds from PRD input
Multi-format Support: 9 audio/video formats supported

📄 License

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

🎉 Acknowledgments

OpenAI for Whisper and GPT API
Gradio for the excellent web UI framework
Python Community for the amazing ecosystem
Contributors who help make this project better

📞 Contact & Links

Repository: github.com/tomdwipo/agent
Documentation: Complete Documentation Hub
Project Proposal: SDLC Agent Workflow Proposal
Issues: GitHub Issues

🚀 Ready to transform your SDLC workflow? Get started with the Quick Start guide above!

Name		Name	Last commit message	Last commit date
Latest commit History 73 Commits
config		config
demos		demos
docs		docs
mcp		mcp
services		services
tests		tests
ui		ui
.env.example		.env.example
.gitignore		.gitignore
.python-version		.python-version
README.md		README.md
main.py		main.py
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
transcribe_gradio.py		transcribe_gradio.py
uv.lock		uv.lock

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🎯 SDLC Agent Workflow

🚀 What is SDLC Agent Workflow?

🎯 Current Capabilities (Production Ready ✅)

🔮 Future Vision (2025-2026 Roadmap)

⚡ Quick Start

Prerequisites

Installation

🎯 Features Overview

✅ Production Features

📋 Planned Features (2025-2026)

🏗️ Architecture

System Overview

Technology Stack

Project Structure

📚 Documentation

🎯 For Users

🛠️ For Developers

📋 For Project Managers & Stakeholders

🚀 Usage Examples

Basic Audio Transcription

PRD Generation

Complete Workflow

🔧 Configuration

Environment Variables

Advanced Configuration

🧪 Development

Setup Development Environment

Running Tests

Contributing

📈 Project Status & Roadmap

Current Status: Production Ready v1.0 ✅

Success Metrics by Phase

Complete Workflow Vision

🤝 Community & Support

Getting Help

Contributing

📊 Metrics & Performance

Current Application Metrics

Performance Benchmarks

📄 License

🎉 Acknowledgments

📞 Contact & Links

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