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-# Devr.AI
\ No newline at end of file
+# Devr.AI - AI-Powered Developer Relations Assistant
+
+## Table of Contents
+- [Project Overview](#project-overview)
+- [System Architecture](#system-architecture)
+- [Setup Guide](#setup-guide)
+- [Core Features](#core-features)
+- [Technology Stack](#technology-stack)
+- [Integration Details](#integration-details)
+- [Workflows](#workflows)
+- [Data Flow and Storage](#data-flow-and-storage)
+- [Deployment Strategy](#deployment-strategy)
+
+## Project Overview
+
+Devr.AI is an advanced AI-powered Developer Relations (DevRel) assistant designed to revolutionize open-source community management. By integrating with platforms like Discord, Slack, GitHub, and Discourse, Devr.AI functions as a virtual DevRel advocate that helps maintainers engage with contributors, streamline onboarding processes, and deliver real-time project updates.
+
+The system leverages Large Language Models (LLMs), knowledge retrieval mechanisms, and workflow automation to enhance community engagement, simplify contributor onboarding, and ensure that open-source projects remain active and well-supported.
+
+### Key Value Propositions
+
+- **Reduce maintainer workload** by automating routine interactions and queries
+- **Improve contributor experience** through personalized onboarding and support
+- **Enhance project visibility** via consistent engagement and community nurturing
+- **Generate actionable insights** from community interactions and contribution patterns
+- **Ensure knowledge preservation** by capturing and organizing project information
+
+## System Architecture
+
+```mermaid
+flowchart TB
+    %% External Platforms
+    subgraph "External Platforms"
+        GH["GitHub"]
+        DS["Discord"]
+        SL["Slack"]
+    end
+
+    %% React Frontend
+    subgraph "React Frontend"
+        FRONT["React + TS + TailwindCSS"]
+        DASH["Dashboard"]
+    end
+
+    %% FastAPI Backend
+    subgraph "FastAPI backend"
+        API["FastAPI Gateway"]
+    end
+
+    %% Authentication
+    subgraph "Authentication"
+        GitAuth["GitHub Authentication"]
+        SupaAuth["Supabase Authentication"]
+    end
+
+    %% Core Processing Engine
+    subgraph "Core Processing Engine"
+        WF["Workflow Orchestrator"]
+        Q["Task Queue"]
+    end
+
+    %% AI Service Layer (Groq APIs)
+    subgraph "AI Service Layer (Groq APIs)"
+        LLM["LLM Service"]
+        KR["Knowledge Retrieval"]
+        CODE["Code Understanding"]
+    end
+
+    %% Integration Services
+    subgraph "Integration Services"
+        GHS["GitHub Service"]
+        DSS["Discord Service"]
+        SLS["Slack Service"]
+    end
+
+    %% Data Storage Layer
+    subgraph "Data Storage Layer"
+        Supa["(Supabase)"]
+        VDB["Vector DB and Relational DB "]
+    end
+
+    %% Analytics Engine
+    subgraph "Analytics Engine"
+        METRICS["Metrics Calculator"]
+        REPORT["Report Generator"]
+        TREND["Trend Analyzer"]
+    end
+
+    %% Connections
+    FRONT --> DASH
+    DASH <--> API
+
+    GH <--> GHS
+    DS <--> DSS
+    SL <--> SLS
+
+    GHS <--> API
+    DSS <--> API
+    SLS <--> API
+
+    API <--> GitAuth
+    API <--> SupaAuth
+
+    API <--> WF
+
+    WF <--> Q
+
+    WF <--> LLM
+    WF <--> KR
+    WF <--> CODE
+
+    LLM <--> Supa
+    KR <--> Supa
+    Supa --> VDB
+
+    WF --> METRICS
+    METRICS --> REPORT
+    METRICS --> TREND
+    REPORT --> Supa
+    TREND --> Supa
+    
+
+    %% Styling for Light Colors with Black Text
+    classDef external fill:#e0f7fa,stroke:#00796b,stroke-width:1px,color:#000;
+    classDef backend fill:#e8f5e9,stroke:#388e3c,stroke-width:1px,color:#000;
+    classDef auth fill:#f3e5f5,stroke:#8e24aa,stroke-width:1px,color:#000;
+    classDef core fill:#fff3e0,stroke:#f57c00,stroke-width:1px,color:#000;
+    classDef ai fill:#e1f5fe,stroke:#0288d1,stroke-width:1px,color:#000;
+    classDef integration fill:#fce4ec,stroke:#d81b60,stroke-width:1px,color:#000;
+    classDef storage fill:#ede7f6,stroke:#5e35b1,stroke-width:1px,color:#000;
+    classDef analytics fill:#e8eaf6,stroke:#3949ab,stroke-width:1px,color:#000;
+
+    %% Apply classes to nodes
+    class GH,DS,SL external;
+    class API backend;
+    class GitAuth,SupaAuth,FRONT auth;
+    class WF,Q core;
+    class LLM,KR,CODE,DASH ai;
+    class GHS,DSS,SLS integration;
+    class VDB storage;
+    class METRICS,REPORT,TREND analytics;
+
+```
+
+### High-Level Architecture Overview
+
+Devr.AI follows a microservices architecture with the following key components:
+
+1. **API Gateway Layer**
+   - Handles all incoming requests from integrated platforms
+   - Manages authentication and request routing
+   - Implements rate limiting and request validation
+
+2. **Core Processing Engine**
+   - Orchestrates workflows between different services
+   - Manages the processing queue for asynchronous tasks
+   - Handles context management for ongoing conversations
+
+3. **AI Service Layer**
+   - LLM integration for natural language understanding and generation
+   - Knowledge retrieval system for accessing project-specific information
+   - Specialized models for code understanding and issue triage
+
+4. **Integration Services**
+   - Platform-specific adapters for Discord, Slack, GitHub, and Discourse
+   - Webhook handlers and event processors
+   - Authentication managers for each platform
+
+5. **Data Storage Layer**
+   - Vector database for semantic search functionality
+   - Relational database for structured data and relationships
+   - Document store for conversation history and analytics
+
+6. **Analytics Engine**
+   - Real-time metrics calculation
+   - Report generation
+   - Anomaly detection and trend analysis
+
+## Core Features
+
+### 1. AI-Driven Contributor Engagement
+
+- **New Contributor Welcome & Onboarding**
+  - Automatic detection of first-time contributors
+  - Personalized welcome messages with project-specific onboarding instructions
+  - Interactive guidance through first contribution steps
+
+- **Community Interaction**
+  - Natural language conversations across all integrated platforms
+  - Contextual responses based on user history and project knowledge
+  - Multi-turn dialogue management with memory of previous interactions
+
+- **Activity Promotion**
+  - Automated suggestions for good first issues to new contributors
+  - Regular updates about project milestones and achievements
+  - Recognition of contributor achievements and milestones
+
+### 2. Automated Issue Triage & PR Assistance
+
+- **Issue Classification**
+  - Automatic categorization of new issues by type, component, and priority
+  - Identification of duplicate issues and linking them together
+  - Suggested assignment based on contributor expertise and availability
+
+- **PR Review Support**
+  - Automated initial code review comments for common issues
+  - Documentation verification and suggestions
+  - Test coverage analysis and feedback
+
+- **Contributor Guidance**
+  - Step-by-step assistance for setting up development environments
+  - Code style and convention explanations
+  - Troubleshooting help for common development issues
+
+### 3. Knowledge Base & FAQ Automation
+
+- **Dynamic Documentation**
+  - Automatic extraction of FAQs from community conversations
+  - Creation and maintenance of project wikis and guides
+  - Code documentation generation and enhancement
+
+- **Contextual Help**
+  - Instant answers to common technical questions
+  - Project-specific knowledge retrieval
+  - Code snippet explanations and examples
+
+- **Knowledge Preservation**
+  - Capturing of tribal knowledge from experienced contributors
+  - Archiving of important decisions and their context
+  - Historical project evolution tracking
+
+### 4. AI-Powered Community Analytics
+
+- **Engagement Metrics**
+  - Contributor activity tracking across platforms
+  - Response time and resolution rate monitoring
+  - Community growth and retention analytics
+
+- **Contribution Analysis**
+  - Identification of valuable contributors and their patterns
+  - Code quality and impact measurements
+  - Diversity and inclusion metrics
+
+- **Health Monitoring**
+  - Early warning system for declining project activity
+  - Burnout risk detection for maintainers
+  - Community sentiment analysis
+
+## Setup Guide
+For installing the project locally refer to the [Installation Guide](./docs/INSTALL_GUIDE.md)
+
+## Technology Stack
+
+### Backend Services
+
+- **Core Framework**: FastAPI
+- **Containerization**: Docker & Kubernetes
+- **Messaging Queue**: RabbitMQ
+- **Task Scheduling**: Celery
+
+### AI Components (Groq APIs)
+
+- **LLM Integration**: Strong LLM with reasoning capacity
+- **Embeddings**: Embedding Model
+
+
+### Data Storage
+
+- **Vector Database**: Supabase
+- **Relational Database**: Supabase (PostgreSQL)
+- **Document Storage**: Supabase
+
+### Frontend Components
+
+- **Dashboard**: React.js + Tailwind CSS
+- **Analytics UI**: React.js + Shadcn
+
+### DevOps & Infrastructure
+
+- **CI/CD**: GitHub Actions
+- **Monitoring**: Prometheus
+- **Logging**: ELK Stack
+- **Cloud Provider**: AWS / GCP
+
+## Integration Details
+
+### Discord Integration
+
+```mermaid
+sequenceDiagram
+    participant User as Discord User
+    participant Bot as Discord Bot
+    participant API as API Gateway
+    participant EP as Event Processor
+    participant AI as AI Service
+    participant KB as Knowledge Base
+    participant DB as Database
+
+    User->>Bot: Sends message or command
+    Bot->>API: Forwards event via webhook
+    API->>EP: Routes to Event Processor
+    
+    EP->>DB: Check user context
+    DB->>EP: Return context
+    
+    EP->>KB: Retrieve relevant knowledge
+    KB->>EP: Return knowledge
+    
+    EP->>AI: Generate response with context
+    AI->>EP: Return formatted response
+    
+    EP->>DB: Update conversation history
+    EP->>Bot: Send response to Discord
+    Bot->>User: Display response message
+
+    Note over EP,AI: For complex queries, additional<br/>processing steps may occur
+```
+
+#### Authentication & Setup
+- OAuth2 flow for bot installation
+- Server-specific configuration and permission setup
+- Role-based access control configuration
+
+#### Event Handling
+- Message creation and update events
+- Channel join/leave events
+- Reaction events for issue tracking
+
+#### Features
+- Thread creation for complex discussions
+- Slash commands for direct interaction with DevrAI
+- Automated welcome messages in designated channels
+- Role assignment based on GitHub contribution history
+
+#### Data Flow
+1. Discord webhook sends event to API Gateway
+2. Event processor extracts relevant information
+3. AI Service generates appropriate response
+4. Integration service formats and sends response back to Discord
+
+### Slack Integration
+
+```mermaid
+sequenceDiagram
+    participant User as Slack User
+    participant Slack as Slack Platform
+    participant API as API Gateway
+    participant EP as Event Processor
+    participant AI as AI Service
+    participant KB as Knowledge Base
+
+    User->>Slack: Sends message/command
+    Slack->>API: Forwards via Events API
+    API->>EP: Process Slack event
+    
+    EP->>KB: Query relevant information
+    KB->>EP: Return knowledge snippets
+    
+    EP->>AI: Generate response
+    AI->>EP: Return formatted response
+    
+    EP->>Slack: Send Block Kit message
+    Slack->>User: Display interactive response
+    
+    alt User Interaction
+        User->>Slack: Clicks interactive element
+        Slack->>API: Action payload
+        API->>EP: Process interaction
+        EP->>Slack: Update message
+        Slack->>User: Show updated content
+    end
+```
+
+#### Authentication & Setup
+- Slack App Directory installation flow
+- Workspace-specific settings configuration
+- Channel mapping to project components
+
+#### Event Handling
+- Message events in channels and direct messages
+- App mention events
+- Interactive component events (buttons, dropdowns)
+
+#### Features
+- Slash commands for project information
+- Interactive message components for issue triage
+- Automatic daily/weekly project updates
+- Direct message onboarding for new contributors
+
+#### Data Flow
+1. Slack Events API sends event to API Gateway
+2. Event processor validates and processes the event
+3. Workflow engine determines appropriate action
+4. Response is formatted according to Slack Block Kit
+5. Message is sent back to appropriate Slack channel
+
+### GitHub Integration
+
+```mermaid
+sequenceDiagram
+    participant GH as GitHub
+    participant API as API Gateway
+    participant EP as Event Processor
+    participant AT as Automated Triage
+    participant AI as AI Service
+    participant DB as Database
+
+    GH->>API: Webhook (Issue/PR/Comment)
+    API->>EP: Process GitHub event
+    
+    alt New Issue
+        EP->>AT: Triage new issue
+        AT->>AI: Analyze issue content
+        AI->>AT: Return classification
+        AT->>GH: Apply labels & suggestions
+        AT->>DB: Log issue metadata
+    else New PR
+        EP->>AT: Review PR
+        AT->>AI: Analyze code changes
+        AI->>AT: Return review comments
+        AT->>GH: Post initial review
+        AT->>DB: Track PR statistics
+    else Comment
+        EP->>AI: Process comment context
+        AI->>EP: Generate appropriate response
+        EP->>GH: Post response comment
+        EP->>DB: Update conversation tracking
+    end
+```
+
+#### Authentication & Setup
+- GitHub App installation process
+- Repository-specific configuration
+- Permission scopes management
+
+#### Event Handling
+- Issue creation, update, and comment events
+- Pull request lifecycle events
+- Repository star and fork events
+- Release publication events
+
+#### Features
+- Automated issue labeling and assignment
+- PR review comments and suggestions
+- Release notes generation
+- Contributor statistics and recognition
+
+#### Data Flow
+1. GitHub webhook sends event to API Gateway
+2. Event processor categorizes and enriches event data
+3. Task is assigned to appropriate service based on event type
+4. Response actions are taken via GitHub API
+5. Event and action are logged for analytics
+
+### Discourse Integration
+
+#### Authentication & Setup
+- API key authentication
+- Category and tag mapping
+- User role configuration
+
+#### Event Handling
+- New topic creation events
+- Post creation and update events
+- User registration events
+
+#### Features
+- Automatic responses to common questions
+- Cross-linking between forum topics and GitHub issues
+- Knowledge base article suggestions
+- Community showcase of project achievements
+
+#### Data Flow
+1. Discourse webhook or API polling detects new content
+2. Content is processed and classified
+3. Knowledge retrieval finds relevant information
+4. Response is generated and posted to appropriate thread
+5. New knowledge is extracted and stored for future use
+
+## Workflows
+
+### New Contributor Onboarding Workflow
+
+```mermaid
+stateDiagram-v2
+    [*] --> DetectNewContributor
+    
+    DetectNewContributor --> GenerateWelcome
+    GenerateWelcome --> DetermineIntention
+    
+    DetermineIntention --> IssueGuidance: Issue Creation
+    DetermineIntention --> PRGuidance: PR Submission
+    DetermineIntention --> GeneralGuidance: Platform Join
+    
+    IssueGuidance --> ProvideResources
+    PRGuidance --> ProvideResources
+    GeneralGuidance --> ProvideResources
+    
+    ProvideResources --> MonitorEngagement
+    
+    MonitorEngagement --> FollowUp: No Activity
+    MonitorEngagement --> AnswerQuestions: User Response
+    MonitorEngagement --> CompleteOnboarding: Task Completed
+    
+    FollowUp --> MonitorEngagement
+    AnswerQuestions --> MonitorEngagement
+    
+    CompleteOnboarding --> RecordStats
+    RecordStats --> [*]
+    
+    AnswerQuestions --> EscalateToMaintainer: Complex Question
+    EscalateToMaintainer --> [*]
+```
+
+1. **Trigger**: First-time contributor opens an issue or PR, or joins community platform
+2. **Detection**: System identifies user as new contributor based on platform history
+3. **Personalization**: AI generates personalized welcome message based on:
+   - Contribution type (issue, PR, question)
+   - Project area of interest
+   - Technical background (if available)
+4. **Guidance**: Provides specific next steps based on contribution intent:
+   - Development environment setup instructions
+   - Coding standards and guidelines
+   - Testing requirements
+   - Documentation expectations
+5. **Follow-up**: Monitors engagement and provides additional assistance:
+   - Answers to follow-up questions
+   - Escalation to human maintainers when necessary
+   - Check-ins on progress after predefined intervals
+
+### Issue Triage Workflow
+
+```mermaid
+stateDiagram-v2
+    [*] --> NewIssueDetected
+    
+    NewIssueDetected --> AnalyzeContent
+    
+    AnalyzeContent --> CheckDuplicates
+    CheckDuplicates --> IdentifyDuplicate: Match Found
+    CheckDuplicates --> ClassifyIssue: No Duplicate
+
+    IdentifyDuplicate --> LinkIssues
+    LinkIssues --> NotifyUser
+    NotifyUser --> CloseAsDuplicate
+    CloseAsDuplicate --> [*]
+    
+    ClassifyIssue --> AssignLabels
+    AssignLabels --> DetermineComplexity
+    
+    DetermineComplexity --> SuggestAssignees
+    SuggestAssignees --> CheckCompleteness
+    
+    CheckCompleteness --> RequestInfo: Incomplete
+    CheckCompleteness --> UpdateProject: Complete
+    
+    RequestInfo --> AwaitResponse
+    AwaitResponse --> AnalyzeContent: Info Provided
+    AwaitResponse --> CloseStale: No Response
+    
+    UpdateProject --> NotifyTeam
+    NotifyTeam --> ScheduleFollowUp
+    ScheduleFollowUp --> [*]
+    
+    CloseStale --> [*]
+```
+
+1. **Trigger**: New issue created on GitHub
+2. **Analysis**:
+   - AI extracts key information from issue description
+   - Compares with existing issues for duplicates
+   - Identifies affected components and potential severity
+3. **Classification**:
+   - Applies appropriate labels (bug, feature, documentation, etc.)
+   - Assigns priority level
+   - Suggests potential assignees based on expertise
+4. **Enhancement**:
+   - Requests additional information if description is incomplete
+   - Suggests reproducible test cases if applicable
+   - Provides links to relevant documentation
+5. **Notification**:
+   - Alerts appropriate team members in Slack/Discord
+   - Updates project boards
+   - Schedules follow-up if issue remains unaddressed
+
+### Knowledge Query Workflow
+
+```mermaid
+stateDiagram-v2
+    [*] --> QuestionDetected
+    
+    QuestionDetected --> ClassifyIntent
+    ClassifyIntent --> ExtractEntities
+    
+    ExtractEntities --> SearchKnowledgeBase
+    SearchKnowledgeBase --> SearchCodebase
+    SearchCodebase --> SearchPriorConversations
+    
+    SearchPriorConversations --> GenerateResponse: Information Found
+    SearchPriorConversations --> FallbackResponse: No Information
+    
+    GenerateResponse --> FormatWithExamples
+    FormatWithExamples --> AddReferences
+    AddReferences --> DeliverResponse
+    
+    FallbackResponse --> GenerateGenericGuidance
+    GenerateGenericGuidance --> SuggestAlternatives
+    SuggestAlternatives --> DeliverResponse
+    
+    DeliverResponse --> RecordInteraction
+    RecordInteraction --> UpdateFAQ: Common Question
+    RecordInteraction --> [*]: Unique Question
+    
+    UpdateFAQ --> [*]
+```
+
+1. **Trigger**: Question asked in any integrated platform
+2. **Intent Recognition**:
+   - Identifies question type and topic
+   - Extracts key entities and concepts
+3. **Knowledge Retrieval**:
+   - Searches vector database for semantically similar content
+   - Retrieves relevant documentation and past answers
+   - Examines code repository for relevant examples
+4. **Response Generation**:
+   - Creates comprehensive yet concise answer
+   - Includes code examples if appropriate
+   - Adds links to official documentation
+5. **Knowledge Capture**:
+   - Records question and answer in knowledge base
+   - Updates FAQ if question is common
+   - Identifies documentation gaps for future improvement
+
+### Community Analytics Workflow
+
+1. **Data Collection**:
+   - Continuous monitoring of activity across all platforms
+   - Tracking of individual contributor actions
+   - Recording of response times and resolution rates
+2. **Processing**:
+   - Aggregation of metrics by timeframe and category
+   - Calculation of derived metrics (e.g., contributor retention)
+   - Trend analysis and anomaly detection
+3. **Insight Generation**:
+   - Identification of active vs. declining areas
+   - Recognition of valuable contributors
+   - Detection of potential community issues
+4. **Reporting**:
+   - Automated weekly summaries to maintainers
+   - Interactive dashboard updates
+   - Quarterly comprehensive project health reports
+5. **Action Recommendation**:
+   - Suggestions for community engagement improvements
+   - Identification of contributors for recognition
+   - Alerts for areas needing maintainer attention
+
+## Data Flow and Storage
+
+### Data Collection and Processing
+
+```mermaid
+flowchart TB
+    subgraph "External Data Sources"
+        GH["GitHub API"]
+        DS["Discord API"]
+        SL["Slack API"]
+        
+    end
+
+    subgraph "Data Collection Layer"
+        WH["Webhooks"]
+        API["API Clients"]
+        UI["User Interactions"]
+    end
+
+    subgraph "Data Processing"
+        NORM["Data Normalizer"]
+        EXTR["Entity Extractor"]
+        EMB["Embedding Generator"]
+    end
+
+    subgraph "Storage Layer"
+        PIN["Supabase<br>(Vector DB)"]
+        SUP["Supabase<br>(PostgreSQL)"]
+        MDB["Supabase<br>(Document Store)"]
+    end
+
+    GH --> WH
+    DS --> WH
+    SL --> API
+    
+    
+    WH --> NORM
+    API --> NORM
+    UI --> NORM
+    
+    NORM --> EXTR
+    EXTR --> EMB
+
+    
+    EMB --> PIN
+    EXTR --> SUP
+    NORM --> MDB
+  
+
+    
+```
+
+1. **External Data Sources**
+   - Platform APIs (GitHub, Discord, Slack)
+   - Webhook events
+   - Direct user interactions
+
+2. **Data Transformation**
+   - Normalization of platform-specific data formats
+   - Entity extraction and relationship mapping
+   - Embedding generation for textual content
+
+3. **Storage Destinations**
+   - Vector embeddings → Pinecone
+   - Structured relationships → Supabase
+   - Historical conversations → MongoDB
+   - Temporary state → Redis
+
+
+## Deployment Strategy
+
+### Infrastructure Architecture
+
+```mermaid
+flowchart TB
+    subgraph "Development Environment"
+        DEV_K8S["Kubernetes Cluster"]
+        DEV_DB["Database Services"]
+        DEV_CACHE["Cache Layer"]
+    end
+
+    subgraph "Staging Environment"
+        STAGE_K8S["Kubernetes Cluster"]
+        STAGE_DB["Database Services"]
+        STAGE_CACHE["Cache Layer"]
+    end
+
+    subgraph "Production Environment"
+        subgraph "Region A"
+            PROD_K8S_A["Kubernetes Cluster"]
+            PROD_DB_A["Database Primary"]
+            PROD_CACHE_A["Cache Primary"]
+        end
+        
+        subgraph "Region B"
+            PROD_K8S_B["Kubernetes Cluster"]
+            PROD_DB_B["Database Replica"]
+            PROD_CACHE_B["Cache Replica"]
+        end
+        
+        LB["Load Balancer"]
+        CDN["Content Delivery Network"]
+    end
+
+    subgraph "CI/CD Pipeline"
+        GIT["Git Repository"]
+        CI["Continuous Integration"]
+        REG["Container Registry"]
+        CD["Continuous Deployment"]
+    end
+
+    GIT --> CI
+    CI --> REG
+    REG --> CD
+    
+    CD --> DEV_K8S
+    CD --> STAGE_K8S
+    CD --> PROD_K8S_A
+    CD --> PROD_K8S_B
+    
+    LB --> PROD_K8S_A
+    LB --> PROD_K8S_B
+    
+    PROD_DB_A <--> PROD_DB_B
+    PROD_CACHE_A <--> PROD_CACHE_B
+    
+    CDN --> LB
+```
+
+- **Multi-environment Setup**:
+  - Development environment for active feature development
+  - Staging environment for integration testing
+  - Production environment for live deployment
+
+- **Containerized Deployment**:
+  - Microservices packaged as Docker containers
+  - Kubernetes for orchestration and scaling
+  - Helm charts for deployment configuration
+
+- **High Availability Design**:
+  - Multiple replicas of critical services
+  - Cross-zone deployment on cloud provider
+  - Automatic failover mechanisms
+
+### CI/CD Pipeline
+
+1. **Code Integration**:
+   - Pull request validation
+   - Automated code quality checks
+   - Unit test execution
+
+2. **Build Process**:
+   - Docker image building
+   - Image vulnerability scanning
+   - Artifact versioning
+
+3. **Deployment Stages**:
+   - Automated deployment to development
+   - Manual approval for staging promotion
+   - Canary deployment to production
+   - Progressive rollout strategy
+
+4. **Monitoring and Rollback**:
+   - Health check validation post-deployment
+   - Automatic rollback on critical metrics deviation
+   - Deployment audit logging
+