Initial commit: Product OS platform

- Control Plane API with Gemini integration
- Executors: Deploy, Analytics, Marketing
- MCP Adapter for Continue integration
- VSCode/VSCodium extension
- Tool registry and run tracking
- In-memory storage for local dev
- Terraform infrastructure setup

.continue/config.yaml

@@ -0,0 +1,61 @@
+# Continue Configuration for Product OS
+# https://docs.continue.dev/reference/config
+
+name: Product OS
+
+# Models - using Gemini via your Control Plane
+models:
+  - name: Gemini (Product OS)
+    provider: openai  # Continue uses OpenAI-compatible API format
+    model: gemini-1.5-flash
+    apiBase: http://localhost:8080  # Your Control Plane
+    apiKey: not-needed  # Auth handled by Control Plane
+
+# Default model for chat
+model: Gemini (Product OS)
+
+# MCP Servers - your Product OS tools
+experimental:
+  modelContextProtocolServers:
+    - name: productos
+      command: npx
+      args:
+        - tsx
+        - /Users/markhenderson/Cursor Projects/Master Biz AI/platform/backend/mcp-adapter/src/index.ts
+      env:
+        CONTROL_PLANE_URL: http://localhost:8080
+        TENANT_ID: t_continue
+
+# Context providers
+contextProviders:
+  - name: code
+    params:
+      nFinal: 5
+      nRetrieve: 10
+  - name: docs
+  - name: terminal
+  - name: problems
+
+# Slash commands
+slashCommands:
+  - name: deploy
+    description: Deploy a service to Cloud Run
+  - name: analytics
+    description: Get funnel analytics
+  - name: marketing
+    description: Generate marketing content
+
+# Custom instructions for the AI
+systemMessage: |
+  You are Product OS, an AI assistant for building and operating SaaS products on Google Cloud.
+  
+  You have access to these tools via MCP:
+  - deploy_service: Deploy Cloud Run services
+  - get_service_status: Check deployment health
+  - get_funnel_analytics: Analyze conversion funnels
+  - get_top_drivers: Understand what drives metrics
+  - generate_marketing_posts: Create social media content
+  - chat_with_gemini: General AI conversation
+  
+  When users ask to deploy, analyze, or generate content, use the appropriate tool.
+  Always confirm before deploying to production.