Update README.md

Author: PhantomInTheWire

README.md

@@ -2,24 +2,8 @@
 
 AI-powered cloud security tool that scans AWS environments for common misconfigurations and vulnerabilities. It provides actionable insights and even command-level fixes using LLMs to enhance cloud security with minimal setup.
 
-## Features
-
-- **AI-Powered Security Platform**: Built with Go (Gin) and Python (FastAPI) backends, and React.js/Next.js frontend
-- **AWS Service Scanners**: Comprehensive security analysis for IAM, EC2, S3, Lambda, DynamoDB, and ECS
-- **LLM-Based Remediation**: Automated command-line fixes for misconfigurations using DSPy for robust structures on unreliable LLM outputs
-- **GraphQL API**: Real-time security scanning and vulnerability management with PostgreSQL database
-- **Docker Deployment**: Multi-environment support (development/production)
-- **Extensible Architecture**: Supports multiple cloud providers with role-based access control
-- **SaaS Functionality**: Authentication middleware and Stripe payment webhook integration
-
 ## Quick Start
 
-### Prerequisites
-
-- Docker 24+
-- Docker Compose v2+
-- 8GB RAM minimum
-
 ### Setup
 
 1. Clone the repository:
@@ -45,35 +29,3 @@ Services will be available at:
 - **Kestra**: http://localhost:8081 - AI Agent Orchestration
 - **Neo4j Browser**: http://localhost:7474 - Security Graph (user: neo4j, password: from .env)
 - **PostgreSQL**: localhost:5432 - Metadata & Results
-
-## Development & Testing
-
-### End-to-End (E2E) Testing with AI
-
-We provide a comprehensive E2E test suite that runs against **LocalStack** (simulating AWS) and the **AI Service**.
-
-1. **Prerequisites**:
-   - Docker & Docker Compose
-   - Go 1.21+ (for running tests locally)
-   - (Optional) OpenAI API Key for real AI summaries
-
-2. **Run Full AI Demo**:
-   This single command starts the entire stack, creates 20+ misconfigured AWS resources (S3, EC2, IAM, Lambda, DynamoDB), runs the security scanner, and validates the AI summaries and remediation commands.
-
-   ```bash
-   cd backend/api
-   export OPENAI_API_KEY=sk-your-key # Optional
-   make e2e-ai-demo
-   ```
-
-   **What happens:**
-   - Starts LocalStack, Postgres, Neo4j, and Python AI Service
-   - Simulates a compromised AWS environment with 20+ vulnerabilities
-   - Runs the Go Scanner via `SecurityService`
-   - AI Agent analyzes findings and generates specific **AWS CLI remediation commands**
-   - Verifies the GraphQL API response includes these summaries
-
-3. **Cleanup**:
-   ```bash
-   make e2e-ai-down
-   ```