Update README with all 10 utility improvements

README.md

@@ -27,22 +27,27 @@ The Deployment Readiness Copilot is a productivity-focused, developer-centric to
 ## ✨ Features
 
 - **🤖 Multi-Agent Pipeline**: Planner → Evidence Gatherer → Synthesis → Documentation → Reviewer → Docs Lookup → Deployment
-- **📚 Context7 Documentation Integration**: Automatic framework/platform documentation lookups for:
-  - Dependency compatibility checks
-  - Deployment pattern validation (Dockerfile, docker-compose, k8s)
-  - Deployment runbook generation
-  - Environment variables validation
-  - Migration strategy guides
-  - Observability setup recommendations
+- **📁 Codebase Analysis**: Upload folder (ZIP) or GitHub repo → Auto-detect framework, dependencies, configs
+- **📚 Context7 Documentation Integration**: Automatic framework/platform documentation lookups
 - **🔧 MCP Tool Integration**: Real-time deployment signals from Hugging Face Spaces, Vercel, Context7, and GitHub
-- **🚀 GitHub Deployment Actions**: Direct deployment via GitHub Actions:
-  - Create deployment PRs
-  - Trigger deployment workflows
-  - Execute deployment pipelines
+- **🚀 Multi-Platform Deployment**: Deploy to Vercel, Netlify, AWS, GCP, Azure, Railway, Render, Fly.io, Kubernetes, Docker
 - **🎓 Sponsor LLM Support**: Cross-validation using Google Gemini 2.0 and OpenAI GPT-4o-mini
 - **📝 Auto-Documentation**: Generates changelog entries, README snippets, and announcement drafts
 - **✅ Risk Assessment**: Automated review with confidence scoring and actionable findings
 
+### 🔥 10 Major Utility Improvements
+
+1. **📊 Real-Time Deployment Monitoring**: Track deployment status, stages, and logs in real-time
+2. **🔒 Security Scanning**: Scan dependencies for vulnerabilities and detect exposed secrets
+3. **💰 Cost Estimation**: Compare costs across platforms with optimization recommendations
+4. **🔐 Environment Variable Validation**: Validate env vars, detect missing required vars, security issues
+5. **⚡ Performance Optimization**: Framework-specific performance analysis and improvement suggestions
+6. **🔄 CI/CD Pipeline Generation**: Auto-generate GitHub Actions and GitLab CI configurations
+7. **⏮️ Rollback Strategies**: Generate rollback plans and disaster recovery procedures
+8. **🌍 Multi-Environment Support**: Deploy to dev/staging/production with environment-specific configs
+9. **👥 Team Collaboration**: Review sessions, stakeholder approvals, comments, and feedback
+10. **📊 Monitoring Integration**: Setup recommendations for Sentry, New Relic, Datadog, and platform-native tools
+
 ## 🏗️ Architecture
 
 ### Agents
@@ -81,11 +86,18 @@ The Deployment Readiness Copilot is a productivity-focused, developer-centric to
    - `GITHUB_REPO`: Repository in format `owner/repo` (optional, for deployments)
    - `GITHUB_BRANCH`: Branch name (default: `main`) (optional)
 
-2. **Run the Pipeline**:
-   - Enter project details (name, release goal, code summary)
-   - Add infrastructure notes and stakeholders
-   - Click "Run Readiness Pipeline"
-   - Review the multi-agent output and sponsor LLM synthesis
+2. **Upload & Analyze**:
+   - Upload your project folder as ZIP, OR
+   - Enter GitHub repo URL
+   - Click "Analyze Codebase" to auto-detect framework and dependencies
+
+3. **Configure & Deploy**:
+   - Review auto-filled project details
+   - Select deployment platform (Vercel, AWS, etc.)
+   - Choose environment (dev/staging/production)
+   - Click "Run Full Pipeline & Deploy"
+   - Review all utility reports (security, cost, performance, etc.)
+   - Deploy directly via MCP
 
 ## 📋 Example Usage