Add Theia base + Product OS vision and guides

Co-authored-by: Cursor <cursoragent@cursor.com>

Google_Cloud_Product_OS.md

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+Google Cloud Product OS
+Product-Centric IDE + SaaS Autopilot Platform (Requirements & Architecture)
+Vision
+
+Build a Product-Centric IDE and Automation Platform dedicated exclusively to:
+
+Launching, growing, and operating SaaS products on Google Cloud
+
+This is NOT a general-purpose IDE.
+This is a Product Operating System (Product OS) designed to unify:
+
+Code
+
+Marketing
+
+Analytics
+
+Growth
+
+Support
+
+Experiments
+
+Infrastructure
+
+AI-driven automation
+
+into one coherent platform.
+
+It delivers:
+
+A Cursor-like experience
+
+Without Cursor cost
+
+Powered by Gemini (Vertex AI)
+
+Optimized specifically for Google Cloud
+
+Focused exclusively on building & automating products
+
+Core Product Principles
+1. Product-Centric, Not Code-Centric
+
+This platform optimizes for:
+
+Shipping, launching, growing, and optimizing products, not just writing code.
+
+2. Opinionated for Google Cloud
+
+This system is:
+
+Cloud Run-first
+
+Firestore / Cloud SQL-native
+
+BigQuery-native
+
+Cloud Build-native
+
+Gemini-native
+
+No AWS, no Azure, no multi-cloud abstraction.
+
+3. Automation First
+
+Everything is:
+
+Automatable
+
+Observable
+
+Auditable
+
+Optimizable
+
+4. AI as a Product Operator
+
+The AI is not just a coding assistant.
+It is a:
+
+Product Operator AI
+capable of coordinating marketing, growth, support, analytics, and code.
+
+IDE Structure: Product-Centric Layout
+
+Instead of a traditional IDE layout, the system must expose:
+
+Product OS
+├── Code
+├── Marketing
+├── Analytics
+├── Growth
+├── Support
+├── Experiments
+└── Infrastructure
+
+
+Each section is first-class and AI-assisted.
+
+Section Requirements
+1. Code Section
+
+Purpose:
+
+Build and deploy product services
+
+Must support:
+
+Cloud Run services
+
+Cloud SQL / Firestore integration
+
+Secrets management
+
+Logs & traces
+
+Rollbacks
+
+Service templates
+
+Not required:
+
+Arbitrary framework support
+
+Every programming language
+
+Optimized languages:
+
+TypeScript / Node
+
+Python
+
+2. Marketing Section
+
+Purpose:
+
+Automate go-to-market and content execution
+
+Must support:
+
+Campaign generation
+
+Social scheduling (Missinglettr)
+
+Blog generation & updates
+
+Landing page updates
+
+Brand voice control
+
+Product update → campaign pipeline
+
+AI must:
+
+Convert product changes into launch content
+
+Adapt content to brand style
+
+3. Analytics Section
+
+Purpose:
+
+Understand product performance and causality
+
+Must support:
+
+Funnels
+
+Retention
+
+Activation
+
+Cohorts
+
+LTV
+
+Causal drivers
+
+Experiment results
+
+NOT a SQL editor.
+This is a Product Intelligence Interface.
+
+AI must answer:
+
+"Why did conversion change?"
+"What caused activation to drop?"
+"What should we test next?"
+
+4. Growth Section
+
+Purpose:
+
+Optimize onboarding and conversion
+
+Must support:
+
+Funnel definitions
+
+Onboarding flows
+
+Growth experiments
+
+A/B tests
+
+Nudge systems
+
+Conversion optimization
+
+AI must:
+
+Detect drop-offs
+
+Recommend experiments
+
+Evaluate uplift
+
+5. Support Section
+
+Purpose:
+
+Integrate customer feedback and product health
+
+Must support:
+
+Ticket ingestion
+
+AI-assisted replies
+
+Knowledge base generation
+
+Product issue detection
+
+Issue → fix pipeline
+
+AI must:
+
+Generate replies
+
+Detect recurring issues
+
+Recommend fixes
+
+6. Experiments Section
+
+Purpose:
+
+Coordinate A/B tests and product experiments
+
+Must support:
+
+Experiment definitions
+
+Targeting
+
+Metrics tracking
+
+Statistical significance
+
+Rollout controls
+
+AI must:
+
+Suggest experiments
+
+Analyze results
+
+Recommend actions
+
+7. Infrastructure Section
+
+Purpose:
+
+Manage and monitor production systems
+
+Must support:
+
+Cloud Run deployments
+
+Firestore / Cloud SQL management
+
+Secrets
+
+Logs
+
+Traces
+
+Alerts
+
+Cost monitoring
+
+AI must:
+
+Detect anomalies
+
+Recommend optimizations
+
+Automate fixes