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AI-Enhanced Software Development Lifecycle (AI-SDLC) Guide ​

Overview ​

This guide outlines the AI-enhanced software development lifecycle for the ALP (Australian Legal Practice) project, integrating artificial intelligence capabilities with traditional software development practices to create a modern legal practice management system.

Table of Contents ​

  1. Project Structure
  2. AI Integration Status
  3. Development Workflow
  4. Frontend UI Standards
  5. Code Quality Standards
  6. Testing Strategy
  7. Deployment Process
  8. Security Considerations
  9. Monitoring and Observability
  10. AI Tools and Services
  11. Implementation Status

Project Structure ​

Backend Architecture ​

ALP/
├── ALP/                          # Main ASP.NET Core 8.0 API
│   ├── Controllers/              # API Controllers
│   ├── Services/                 # Business Logic Services
│   ├── Middleware/               # Custom Middleware
│   └── Hubs/                     # SignalR Hubs
├── ALP.Data/                     # Entity Framework Data Layer
├── ALP.Services/                 # Business Services Layer
└── ALP.Tests/                    # Test Projects

Frontend Architecture ​

ALP/App/
├── src/
│   ├── components/               # Vue 3 Components
│   ├── views/                    # Page Components
│   ├── store/                    # Vuex Store Modules
│   ├── lib/registry/new-york/ui/ # shadcn-vue Components
│   └── composables/              # Vue 3 Composables
├── public/                       # Static Assets
└── tests/                        # Frontend Tests

AI Integration Points ​

  • OpenAI Service: Email summarization and content analysis
  • Tika Service: Document content extraction
  • Whisper.js: Speech-to-text capabilities
  • AI-Enhanced Testing: Automated test case generation

AI Integration Status ​

✅ Implemented Features ​

  1. Email Summarization

    • OpenAI GPT-4 integration for email content summarization
    • Backend: OpenAIService.GetSummaryEmail()
    • Frontend: Email detail view with summary button using shadcn-vue components
    • API: GET /api/emails/{id}/summaryEmailViaOpenAI

  2. Pinned Projects

    • Project pinning functionality for quick access
    • Backend: ProjectService pinned projects methods
    • Frontend: DashboardPinnedProjects.vue component using shadcn-vue Card, Badge components
    • Database: UserPreferences table with UserPreferencesTypes.PinnedProject

  3. Document Processing

    • Apache Tika integration for document content extraction
    • Service: TikaService for document processing
    • Support for multiple document formats

  4. shadcn-vue UI Framework

    • Complete UI component library integration
    • Package: shadcn-vue@0.8.5 installed and configured
    • Components: All core UI components available and registered globally
    • Styling: Tailwind CSS with custom design system
    • Accessibility: WCAG 2.1 AA compliance through Radix Vue primitives

  5. Enhanced Phone Input with Masking

    • PhoneInputWithMask component with country-specific formatting
    • Automatic mask application based on selected country
    • Support for multiple mask types: national, international, e164
    • Integration with libphonenumber-js for validation
    • Real-time formatting and validation
    • Accessibility compliant with keyboard navigation
    • Used in CreateContact.vue for Contact Number field

🚧 In Progress ​

  1. AI-Enhanced Testing

    • Test case generation using AI
    • Automated test scenario creation
    • Status: Development in progress

  2. AI Security Validation

    • Enhanced security checks for AI-generated content
    • Content validation and sanitization
    • Status: Planning phase

📋 Planned Features ​

  1. Legal Document Review

    • AI-powered document analysis and review
    • Contract clause identification
    • Risk assessment automation
    • UI: Will use shadcn-vue components for document viewer and analysis interface

  2. Time Entry Automation

    • AI-assisted time tracking
    • Automatic time entry suggestions
    • Activity classification
    • UI: Will use shadcn-vue Form components and DataTable for time entry interface

  3. Client Portal AI

    • Intelligent client interaction
    • Automated response generation
    • Client query classification
    • UI: Will use shadcn-vue Dialog, Form, and Chat components

Development Workflow ​

1. Requirements Analysis ​

  • Business Requirements: Understand legal practice needs
  • AI Requirements: Identify AI enhancement opportunities
  • Technical Requirements: Define system architecture and constraints
  • UI Requirements: Ensure all new features follow shadcn-vue standards

2. Design Phase ​

  • Architecture Design: System and component design
  • AI Integration Design: AI service integration patterns
  • UI/UX Design: Design using shadcn-vue components and patterns
  • Security Design: Security and compliance considerations

3. Development Phase ​

  • Backend Development: ASP.NET Core 8.0 with Entity Framework
  • Frontend Development: Vue 3 with shadcn-vue components
  • AI Integration: OpenAI and other AI services integration
  • Database Development: PostgreSQL with Entity Framework migrations

4. Testing Phase ​

  • Unit Testing: Component and service testing
  • Integration Testing: API and service integration testing
  • AI Testing: AI service integration and response testing
  • UI Testing: shadcn-vue component testing and accessibility validation

5. Deployment Phase ​

  • Environment Setup: Development, staging, and production environments
  • Database Migration: Entity Framework migrations
  • Application Deployment: ASP.NET Core and Vue.js deployment
  • AI Service Configuration: OpenAI and other AI services setup

Frontend UI Standards ​

🎨 shadcn-vue as Primary UI Framework ​

Standard: All new frontend development must use shadcn-vue components as the primary UI framework.

Rationale:

  • Built on Radix Vue primitives for excellent accessibility
  • Highly customizable with Tailwind CSS
  • Modern design system with consistent patterns
  • Strong TypeScript support
  • Active community and regular updates
  • Excellent integration with Vue 3 Composition API

📦 Available Components ​

typescript
// Core UI Components (shadcn-vue)
- Button, Input, Label, Checkbox, Switch
- Card, CardHeader, CardContent, CardDescription, CardTitle
- Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger
- Badge, Avatar, Calendar, Select, Form components
- DropdownMenu, Popover, Command, Sheet
- DataTable, ScrollArea, HoverCard
- Tabs, Accordion, Alert, Toast
- Progress, Slider, Toggle, Tooltip

// Enhanced Input Components
- PhoneInputWithMask: Country-specific phone number input with masking
- PhoneInput: Basic phone input with libphonenumber-js integration
- FlagComponent: Country flag display component

🔧 Component Usage Standards ​

vue
<!-- Correct shadcn-vue usage pattern -->
<template>
  <Card>
    <CardHeader>
      <CardTitle>Component Title</CardTitle>
      <CardDescription>Component description</CardDescription>
    </CardHeader>
    <CardContent>
      <Button variant="outline" size="sm">
        Action Button
      </Button>
    </CardContent>
  </Card>
</template>

<script setup lang="ts">
import {
  Card,
  CardContent,
  CardDescription,
  CardHeader,
  CardTitle
} from "@/lib/registry/new-york/ui/card";
import { Button } from "@/lib/registry/new-york/ui/button";
</script>

📱 Enhanced Input Components ​

PhoneInputWithMask Component ​

Purpose: Provides country-specific phone number input with automatic masking and validation.

Features:

  • Country-specific mask patterns (AU: #### #### ####, US: (###) ###-####, etc.)
  • Real-time formatting as user types
  • Integration with libphonenumber-js for validation
  • Support for multiple mask types (national, international, e164)
  • Accessibility compliant with keyboard navigation
  • Paste handling with automatic formatting

Usage Pattern:

vue
<template>
  <shad-form-field v-slot="{ componentField }" name="contactNumber">
    <shad-form-item class="w-1/2">
      <shad-form-label :isRequired="true">Contact Number</shad-form-label>
      <shad-form-control>
        <PhoneInputWithMask
          v-model="state.contactNumber"
          :country-code="state.selectedCountry"
          @update:country-code="state.selectedCountry = $event as CountryCode"
          :enable-mask="true"
          mask-type="national"
          :disabled="state.noContactNumber"
          v-bind="componentField"
        >
          <template #selector="{ inputValue, updateInputValue, countries }">
            <shad-popover v-model:open="state.countrySelectorOpen">
              <shad-popover-trigger as-child>
                <shad-button
                  variant="outline"
                  class="flex gap-1 rounded-e-none rounded-s-lg px-3"
                  :disabled="state.noContactNumber"
                >
                  <FlagComponent :country="inputValue" />
                  <ChevronsUpDown class="-mr-2 h-4 w-4 opacity-50" />
                </shad-button>
              </shad-popover-trigger>
              <shad-popover-content class="w-[300px] p-0">
                <shad-command>
                  <shad-command-input placeholder="Search country..." />
                  <shad-command-empty>No country found.</shad-command-empty>
                  <shad-command-list>
                    <shad-command-group>
                      <shad-command-item
                        v-for="option in countries"
                        :key="option.iso2"
                        :value="option.name"
                        class="gap-2"
                        @select="
                          () => {
                            updateInputValue(option.iso2);
                            state.countrySelectorOpen = false;
                          }
                        "
                      >
                        <FlagComponent :country="option?.iso2" />
                        <span class="flex-1 text-sm">{{ option.name }}</span>
                        <span class="text-foreground/50 text-sm">
                          {{ option.dialCode }}
                        </span>
                      </shad-command-item>
                    </shad-command-group>
                  </shad-command-list>
                </shad-command>
              </shad-popover-content>
            </shad-popover>
          </template>
        </PhoneInputWithMask>
      </shad-form-control>
      <shad-form-message />
    </shad-form-item>
  </shad-form-field>
</template>

<script setup lang="ts">
import PhoneInputWithMask from "@/components/common/PhoneInputWithMask.vue";
import FlagComponent from "@/components/common/FlagComponent.vue";
import { ChevronsUpDown } from "lucide-vue-next";
import type { CountryCode } from "libphonenumber-js";
</script>

Props:

  • enableMask: Boolean to enable/disable masking (default: true)
  • maskType: Type of mask to apply - 'national', 'international', 'e164' (default: 'national')
  • countryCode: Selected country code
  • modelValue: Phone number value
  • All standard PhoneInput props

Events:

  • update:model-value: Emitted when phone number changes
  • update:country-code: Emitted when country changes
  • update: Emitted with validation results
  • data: Emitted with phone number metadata

Mask Patterns by Country:

typescript
const maskPatterns = {
  AU: { pattern: '#### #### ####', maxLength: 14 }, // Australian format: 0400 123 456
  US: { pattern: '(###) ###-####', maxLength: 14 }, // US format: (555) 123-4567
  GB: { pattern: '#### ######', maxLength: 12 }, // UK format: 0777 123456
  CA: { pattern: '(###) ###-####', maxLength: 14 }, // Canadian format: (555) 123-4567
  NZ: { pattern: '### ### ####', maxLength: 13 }, // New Zealand format: 021 123 4567
  default: { pattern: '#### #### ####', maxLength: 20 }
}

🏷️ Component Naming Convention ​

typescript
// Global component registration with shad- prefix
.component("shad-button", Button)
.component("shad-input", Input)
.component("shad-card", Card)
.component("shad-dialog", Dialog)
.component("shad-badge", Badge)

Usage Pattern:

vue
<!-- Use shad- prefix for shadcn-vue components -->
<shad-button variant="outline" size="sm">
  Click me
</shad-button>

<shad-card>
  <shad-card-header>
    <shad-card-title>Title</shad-card-title>
  </shad-card-header>
</shad-card>

📱 Responsive Design Standards ​

  • Framework: Tailwind CSS with responsive utilities
  • Breakpoints: sm (640px), md (768px), lg (1024px), xl (1280px), 2xl (1536px)
  • Mobile-first approach with progressive enhancement
  • Touch-friendly interactions for mobile devices
vue
<template>
  <div class="grid gap-4 md:grid-cols-2 lg:grid-cols-3">
    <Card class="col-span-1">
      <!-- Content -->
    </Card>
  </div>
</template>

♿ Accessibility Standards ​

  • WCAG 2.1 AA compliance with Radix Vue primitives
  • ARIA attributes automatically handled by shadcn-vue components
  • Keyboard navigation support
  • Screen reader compatibility
  • Color contrast compliance

🎯 UI Development Guidelines ​

  1. Always use shadcn-vue components for new features
  2. Follow the shad- prefix naming convention
  3. Implement responsive design using Tailwind CSS utilities
  4. Ensure accessibility compliance through Radix Vue primitives
  5. Use TypeScript for all component development
  6. Follow Vue 3 Composition API patterns
  7. Maintain consistent styling with Tailwind CSS design tokens

🔍 Component Validation Checklist ​

  • [ ] Uses shadcn-vue components where available
  • [ ] Follows shad- prefix naming convention
  • [ ] Implements responsive design
  • [ ] Includes proper TypeScript types
  • [ ] Follows accessibility guidelines
  • [ ] Uses consistent styling patterns
  • [ ] Includes proper error handling
  • [ ] Implements loading states where appropriate

FullSizeDialogContent Component ​

Purpose ​

A responsive, accessible, and modern full-screen dialog component for document previews and large modal content, following shadcn-vue and AI-SDLC UI standards.

Features ​

  • Centered, full-viewport overlay with dark background.
  • Wide, tall content area (responsive, max-width: 5xl–7xl, height: 95vh).
  • Header with customizable icon and title.
  • Accessible close button (keyboard and screen reader friendly).
  • Scrollable main content area.
  • Optional footer slot for file info or actions.
  • All styling via Tailwind and shadcn-vue classes.

Props ​

  • title (string, required): Dialog title.
  • icon (string, default: 'lucide:file'): Iconify icon name for the header.

Usage Example ​

vue
<FullSizeDialogContent
  title="Document Preview"
  icon="lucide:file-text"
  @close="showDialog = false"
>
  <template #default>
    <!-- Main content, e.g., PDF viewer -->
  </template>
  <template #fileinfo>
    <!-- Optional footer content -->
  </template>
</FullSizeDialogContent>

Accessibility ​

  • Uses role="dialog" and aria-modal="true".
  • Close button is keyboard and screen reader accessible.
  • Responsive and works on all screen sizes.

Design Rationale ​

  • Follows shadcn-vue and AI-SDLC standards for consistency, accessibility, and modern UX.
  • Suitable for document previews, large forms, and any modal content requiring maximum space.

Code Quality Standards ​

Backend Standards ​

  • C# Coding Standards: Follow Microsoft C# coding conventions
  • API Design: RESTful API design with proper HTTP status codes
  • Error Handling: Comprehensive error handling with proper logging
  • Security: Input validation, authentication, and authorization
  • Performance: Optimized database queries and caching strategies

Frontend Standards ​

  • Vue 3 Composition API: Use Composition API for all new components
  • TypeScript: Strict TypeScript configuration for type safety
  • shadcn-vue Components: Use shadcn-vue components for all UI elements
  • State Management: Vuex 4 with proper module organization
  • Error Handling: Comprehensive error handling with user feedback
  • Performance: Lazy loading, code splitting, and optimization

AI Integration Standards ​

  • Service Abstraction: Abstract AI services behind interfaces
  • Error Handling: Graceful degradation when AI services are unavailable
  • Security: Data anonymization and validation before AI processing
  • Monitoring: Comprehensive logging and monitoring of AI operations
  • Compliance: Legal and ethical compliance for AI usage

Code Review Process ​

  1. Automated Checks: ESLint, Prettier, and TypeScript compilation
  2. Manual Review: Peer code review with AI integration focus
  3. Security Review: Security-focused review for AI features
  4. UI Review: shadcn-vue component usage and accessibility review
  5. Testing Review: Test coverage and quality review

Testing Strategy ​

Unit Testing ​

  • Backend: xUnit with Moq for mocking
  • Frontend: Vitest with Vue Test Utils
  • AI Services: Mock AI responses for testing
  • Coverage: Minimum 80% code coverage

Integration Testing ​

  • API Testing: Test API endpoints with real database
  • AI Integration: Test AI service integration
  • Database Testing: Test database operations and migrations
  • UI Testing: Test shadcn-vue component integration

AI-Enhanced Testing ​

  • Test Case Generation: Use AI to generate test cases
  • Scenario Testing: Test AI-generated scenarios
  • Performance Testing: Test AI service performance
  • Security Testing: Test AI service security

End-to-End Testing ​

  • Cypress: End-to-end testing with Cypress
  • User Flows: Test complete user workflows
  • AI Features: Test AI-enhanced features
  • Cross-browser Testing: Test across different browsers

Deployment Process ​

Environment Setup ​

  1. Development: Local development environment
  2. Staging: Staging environment for testing
  3. Production: Production environment for live system

Database Migration ​

  1. Entity Framework Migrations: Automated database migrations
  2. Data Seeding: Initial data setup
  3. Backup Strategy: Database backup and recovery

Application Deployment ​

  1. Backend Deployment: ASP.NET Core deployment
  2. Frontend Deployment: Vue.js build and deployment
  3. AI Service Configuration: OpenAI and other AI services setup
  4. Monitoring Setup: Application monitoring and logging

CI/CD Pipeline ​

  1. Build: Automated build process
  2. Test: Automated testing pipeline
  3. Deploy: Automated deployment to staging and production
  4. Monitor: Post-deployment monitoring and validation

Security Considerations ​

Data Security ​

  • Encryption: AES-256 encryption at rest and TLS 1.3 in transit
  • Access Control: Role-based access control (RBAC)
  • Audit Logging: Comprehensive audit trails
  • Data Retention: Configurable data retention policies

AI Security ​

  • Data Anonymization: Anonymize data before AI processing
  • Content Validation: Validate AI-generated content
  • Access Control: Control access to AI features
  • Audit Logging: Log all AI operations

Application Security ​

  • Authentication: JWT Bearer tokens with Microsoft OIDC
  • Authorization: Role-based authorization
  • Input Validation: Comprehensive input validation
  • SQL Injection Prevention: Parameterized queries

Compliance ​

  • Legal Compliance: Compliance with legal industry requirements
  • Data Privacy: GDPR and privacy law compliance
  • AI Ethics: Ethical AI usage guidelines
  • Audit Requirements: Audit trail and reporting

Monitoring and Observability ​

Application Monitoring ​

  • Performance Monitoring: Application performance metrics
  • Error Tracking: Error tracking and alerting
  • User Analytics: User behavior and usage analytics
  • AI Monitoring: AI service performance and usage

Infrastructure Monitoring ​

  • Server Monitoring: Server health and performance
  • Database Monitoring: Database performance and health
  • Network Monitoring: Network connectivity and performance
  • Security Monitoring: Security events and alerts

AI Service Monitoring ​

  • OpenAI Monitoring: OpenAI API usage and performance
  • Tika Service Monitoring: Document processing performance
  • Error Tracking: AI service error tracking
  • Cost Monitoring: AI service cost tracking

Logging Strategy ​

  • Structured Logging: Structured logging with correlation IDs
  • AI Operation Logging: Log all AI operations
  • Security Logging: Security event logging
  • Performance Logging: Performance metric logging

AI Tools and Services ​

OpenAI Integration ​

  • Service: OpenAIService for AI operations
  • Features: Email summarization, content analysis
  • Configuration: API key management and rate limiting
  • Error Handling: Circuit breaker pattern for reliability

Document Processing ​

  • Tika Service: Apache Tika for document content extraction
  • Supported Formats: PDF, Word, Excel, PowerPoint, and more
  • Processing Pipeline: Document upload, processing, and storage
  • Error Handling: Graceful handling of unsupported formats

Speech Recognition ​

  • Whisper.js: Client-side speech-to-text capabilities
  • Integration: Vue.js integration for voice input
  • Privacy: Client-side processing for privacy
  • Fallback: Server-side processing when needed

AI-Enhanced Development ​

  • Code Generation: AI-assisted code generation
  • Test Generation: AI-generated test cases
  • Documentation: AI-assisted documentation generation
  • Code Review: AI-assisted code review

Implementation Status ​

✅ Completed Features ​

  1. Email Summarization: OpenAI GPT-4 integration
  2. Pinned Projects: Project pinning functionality
  3. shadcn-vue UI Framework: Complete UI component library
  4. Document Processing: Tika service integration
  5. Basic AI Integration: OpenAI service integration
  6. Enhanced Phone Input with Masking: Country-specific phone number input with automatic formatting and validation

🚧 In Progress ​

  1. AI-Enhanced Testing: Test case generation
  2. AI Security: Enhanced security validation
  3. AI Monitoring: Performance and error monitoring
  4. Documentation: AI-assisted documentation

📋 Planned Features ​

  1. Legal Document Review: AI-powered document analysis
  2. Time Entry Automation: AI-assisted time tracking
  3. Client Portal AI: Intelligent client interaction
  4. Risk Assessment: AI-powered legal risk analysis
  5. Contract Analysis: Automated contract review

🔧 Technical Debt ​

  1. AI Circuit Breaker: Implement circuit breaker pattern
  2. AI Caching: Implement caching for AI responses
  3. AI Rate Limiting: Implement rate limiting for AI services
  4. AI Audit Trail: Enhanced logging for AI operations
  5. AI Error Handling: Improved error handling for AI services
  6. UI Component Standardization: Ensure all new components follow shadcn-vue patterns
  7. Phone Input Enhancement: ✅ Completed - PhoneInputWithMask component implemented
  8. Input Validation Enhancement: Extend mask patterns to other input fields (ABN, credit cards, etc.)
  9. Accessibility Improvements: Enhanced keyboard navigation for all input components
  10. Performance Optimization: Lazy loading for country data and phone number examples

Success Metrics ​

Technical Metrics ​

  • Performance: Application response time < 2 seconds
  • Reliability: 99.9% uptime
  • Security: Zero security vulnerabilities
  • Code Quality: 80%+ test coverage

AI Metrics ​

  • Accuracy: AI response accuracy > 90%
  • Performance: AI response time < 5 seconds
  • Cost: AI service costs within budget
  • Usage: AI feature adoption rate > 60%

User Metrics ​

  • User Satisfaction: User satisfaction score > 4.5/5
  • Productivity: 20% improvement in user productivity
  • Adoption: 80% feature adoption rate
  • Support: 50% reduction in support tickets

Business Metrics ​

  • Efficiency: 30% improvement in legal practice efficiency
  • Cost Savings: 25% reduction in operational costs
  • Client Satisfaction: Improved client satisfaction scores
  • Compliance: 100% compliance with legal requirements

Conclusion ​

This AI-SDLC guide provides a comprehensive framework for developing AI-enhanced legal practice management software. The guide emphasizes the importance of:

  1. shadcn-vue UI Standards: All frontend development must follow shadcn-vue patterns for consistency and accessibility
  2. AI Integration: Thoughtful integration of AI capabilities to enhance rather than replace human expertise
  3. Security and Compliance: Robust security measures and legal compliance
  4. Quality Assurance: Comprehensive testing and quality standards
  5. Monitoring and Observability: Continuous monitoring and improvement

The implementation status shows good progress on core features while identifying areas for improvement and future development. The technical debt items should be addressed to ensure system reliability and performance.

Key Success Factors:

  • Consistent use of shadcn-vue components for all UI development
  • Proper AI service integration with error handling
  • Comprehensive testing and quality assurance
  • Security-first approach to all development
  • Continuous monitoring and improvement

Regular review and updates of this guide will ensure that the development process remains effective and aligned with project goals.

Released by DevOps Team

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