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190 changes: 8 additions & 182 deletions README.md
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**Optimized for Atlassian Cloud**: JUNO is designed for secure, high-performance deployments. It leverages Atlassian's APIs and cloud-native practices to integrate seamlessly with enterprise environments.
<div style="background-color:#fff5b1;border:1px solid #ffe58f;border-radius:6px;padding:12px;margin-top:8px;margin-bottom:8px"><b>Important Notes:</b> JUNO leverages advanced generative AI. Review the <a href="./docs/architecture/technical-specifications.md">technical specifications</a> and <a href="./docs/deployment/enterprise-implementation.md">enterprise implementation guide</a> before deploying in production.</div>

For full documentation and deployment guides, see the [docs directory](./docs/).
---

## Table of Contents

- [Overview](#overview)
- [Problem Statement & Solution Architecture](#problem-statement--solution-architecture)
- [Phase-Based Agentic AI Maturity Model](#phase-based-agentic-ai-maturity-model)
- [Why This Architecture Matters](#why-this-architecture-matters)
- [Strategic Outcome](#strategic-outcome)
- [How to Add These Sections in Your README.md](#how-to-add-these-sections-in-your-readmemd)
- [Architecture](#architecture)
- [Microservices Architecture](#microservices-architecture)
- [Technology Stack](#technology-stack)
- [Phase Implementation](#phase-implementation)
- [Phase 1: Analytics Foundation](#phase-1-analytics-foundation)
- [Phase 2: Agentic Workflow Management](#phase-2-agentic-workflow-management)
- [Phase 3: Multi-Agent Orchestration](#phase-3-multi-agent-orchestration)
- [Phase 4: AI-Native Operations](#phase-4-ai-native-operations)
- [Quick Start](#quick-start)
- [Prerequisites](#prerequisites)
- [Local Development Setup](#local-development-setup)
- [Configuration](#configuration)
- [Verification](#verification)
- [Code Structure](#code-structure)
- [Directory Overview](#directory-overview)
- [Core Components](#core-components)
- [Visual Interface Showcase](docs/visual-showcase.md)
- [Phase-Specific Components](#phase-specific-components)
- [Enterprise Deployment](#enterprise-deployment)
- [Production Architecture](#production-architecture)
- [High Availability Configuration](#high-availability-configuration)
- [Security Configuration](#security-configuration)
- [API Reference](#api-reference)
- [RESTful API](#restful-api)
- [GraphQL API](#graphql-api)
- [WebSocket API](#websocket-api)
- [Performance Benchmarks](#performance-benchmarks)
<!--
- [Validated Performance Results](#validated-performance-results)
- [Scalability Testing](#scalability-testing)
- [Load Testing Results](#load-testing-results)
-->
- [Security & Compliance](#security--compliance)
- [Security Features](#security-features)
- [Compliance Frameworks](#compliance-frameworks)
- [Audit Trail](#audit-trail)
- [Documentation](#documentation)
- [Directory Structure](#directory-structure)
- [For Executives](#for-executives)
- [For Engineering Managers](#for-engineering-managers)
- [For Developers](#for-developers)
- [For DevOps](#for-devops)
- [Enterprise GPT Integration](#enterprise-gpt-integration) ⭐
- [Testing](#testing)
- [Comprehensive Test Suite](#comprehensive-test-suite)
- [Test Results Summary](#test-results-summary)
- [Contributing](#contributing)
- [Development Setup](#development-setup)
- [Code Standards](#code-standards)
- [Contribution Process](#contribution-process)

- [License](#license)
- [Visual Interface Showcase](docs/visual-showcase.md)
- [Support](#support)
- [Enterprise Support](#enterprise-support)
- [Community Support](#community-support)

## Overview

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## Phase Implementation

### Phase 1: Analytics Foundation
<details><summary><strong>Expand Phase 1 details</strong></summary>


**Status**:
🚧 Prototype

**Capabilities**: R
eactive analytics, insights, and reporting

**Deployment**:
2 weeks

**Use Case**:
Establish baseline metrics and team adoption

**Core Components**:
- **Data Extractor**: Jira API integration and data normalization
- **Analytics Engine**: Statistical analysis and trend detection
- **Visualization Engine**: Interactive charts and dashboards
- **Query Processor**: Natural language query interpretation

**Performance Metrics**:
- Data extraction latency: 45ms average
- Report generation: 2.3s average
- Query accuracy: 94.8%
- System uptime: 99.95%

</details>

### Phase 2: Agentic Workflow Management
<details><summary><strong>Expand Phase 2 details</strong></summary>


**Status**:
🚧 Prototype

**Capabilities**:
Autonomous decision-making with governance oversight

**Deployment**:
6-8 weeks

**Use Case**:
Transform workflows from reactive to proactive

**Core Components**:
- **Memory Layer**: Episodic, semantic, procedural, and working memory
- **Reasoning Engine**: Multi-factor confidence scoring with audit trails
- **Risk Forecasting**: Predictive analytics with 89%+ accuracy
- **Governance Framework**: Role-based approval workflows
- **Test Defect Diagnostics**: Automatic analysis of failing tests

**Performance Metrics**:
- Decision latency: 127ms average
- Risk prediction accuracy: 89.3%
- Autonomous action approval rate: 87.2%
- System uptime: 99.97%

</details>

### Phase 3: Multi-Agent Orchestration
<details><summary><strong>Expand Phase 3 details</strong></summary>

JUNO evolves through four phases:

**Status**:
🚧 Prototype

**Capabilities**:
Cross-team workflow coordination and distributed consensus

**Deployment**:
3-6 months

**Use Case**:
Organization-wide workflow automation

**Core Components**:
- **Consensus Protocol**: Raft-based distributed agreement
- **Agent Coordination**: Task distribution and dependency management
- **Service Discovery**: Dynamic agent registration and health monitoring
- **Fault Tolerance**: Automatic failover and task redistribution

**Performance Targets**:
- Consensus latency: <100ms
- Fault recovery time: <30s
- Scalability: Linear to 50+ agents
- Coordination efficiency: >95%

</details>

### Phase 4: AI-Native Operations
<details><summary><strong>Expand Phase 4 details</strong></summary>


**Status**:
🚧 Prototype

**Capabilities**:
Self-optimizing, self-healing operations

**Deployment**:
6-12 months

**Use Case**:
Autonomous infrastructure and process optimization

**Core Components**:
- **Reinforcement Learning**: Continuous system optimization
- **Threat Detection**: ML-based security monitoring
- **Predictive Scaling**: Workload-based resource allocation
- **Self-Healing**: Automated incident response and recovery

**Performance Targets**:
- Optimization improvement: >15%
- Threat detection accuracy: >96%
- Automated resolution rate: >89%
- MTTR: <5 minutes

</details>

---
1. **Phase 1 – Analytics Foundation** – summarize Jira data and expose metrics. [Guide](./docs/deployment/phase1-analytics-foundation.md)
2. **Phase 2 – Agentic Workflow Management** – add reasoning and memory layers. [Guide](./docs/deployment/phase2-agentic-ai.md)
3. **Phase 3 – Multi-Agent Orchestration** – coordinate insights across teams. [Guide](./docs/deployment/phase3-multi-agent-orchestration.md)
4. **Phase 4 – AI-Native Operations** – enable self-healing, autonomous workflows. [Guide](./docs/deployment/phase4-ai-native-operations.md)

## Quick Start
<details><summary><strong>Expand Quick Start instructions</strong></summary>

A minimal setup to launch JUNO locally. For the full environment setup and
detailed instructions, see the
[Quick Start guide](./docs/getting-started/quick-start.md).
Clone the repository and run the deployment script to start JUNO locally. For detailed setup instructions, see the [Quick Start guide](./docs/getting-started/quick-start.md).

```bash
# Clone repository
git clone https://github.com/mj3b/juno.git
cd juno

# Install dependencies and prepare the environment
./deploy.sh

# Start JUNO Phase 2 locally
./start_juno.sh

# Open the dashboard
open http://localhost:5000
```
</details>

## Code Structure
<details><summary><strong>Expand Code Map</strong></summary>
Expand Down