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Phase 1: Composable Architecture Research Plan

Status: In Progress Duration: 1 week Owner: Web Search Researcher Agent Created: 2025-11-26


Research Objectives

Conduct comprehensive research on composable product suite architectures to inform CODITECT's transformation from monolithic multi-repo structure to modular, customer-selectable component suite.


Research Questions

1. Product Suite Architecture Patterns

Primary Question: How do successful companies structure product suites to enable both standalone and integrated usage?

Sub-Questions:

  • How are component boundaries defined?
  • What integration patterns enable both independence and interoperability?
  • How are dependencies managed between components?
  • What versioning strategies work best?
  • How are breaking changes handled?

Target Examples:

  • Adobe Creative Cloud (20+ products, tight integration)
  • Microsoft 365 (Word, Excel, PowerPoint, Teams, etc.)
  • Atlassian Suite (Jira, Confluence, Bitbucket, Trello)
  • JetBrains Suite (IntelliJ IDEA, WebStorm, PyCharm, etc.)
  • Google Workspace (Docs, Sheets, Gmail, Drive, etc.)

2. Microservices Composition Patterns

Primary Question: How do microservices architectures enable composability while maintaining data consistency?

Sub-Questions:

  • Service mesh patterns (Istio, Linkerd)
  • API gateway strategies
  • Service-to-service communication (sync vs async)
  • Data consistency patterns (eventual consistency, saga pattern)
  • Distributed transactions (2-phase commit, compensating transactions)

Target Examples:

  • Netflix microservices architecture
  • Uber's service mesh
  • Airbnb's service platform
  • Spotify's backend infrastructure

3. Micro-Frontends Architecture

Primary Question: How can frontend applications be composed from independent, deployable components?

Sub-Questions:

  • Module federation patterns (Webpack 5)
  • Runtime composition vs build-time composition
  • Shared state management across micro-frontends
  • Consistent UX across independent components
  • Performance optimization strategies

Target Examples:

  • Spotify micro-frontends
  • IKEA's web platform
  • SAP Fiori architecture
  • Single-SPA framework patterns

4. Plugin/Extension Architectures

Primary Question: How do successful platforms enable third-party extensibility while maintaining stability?

Sub-Questions:

  • Plugin discovery and installation
  • Sandboxing and security
  • API stability guarantees
  • Plugin versioning and compatibility
  • Marketplace curation and quality

Target Examples:

  • VS Code extension system
  • WordPress plugin architecture
  • Figma plugin system
  • Chrome extension platform
  • Obsidian plugin ecosystem

5. Unified Data Layer Patterns

Primary Question: How can independent components share data while maintaining autonomy?

Sub-Questions:

  • Event sourcing architectures
  • CQRS (Command Query Responsibility Segregation)
  • Shared database vs database per service
  • Event bus patterns (Kafka, RabbitMQ, Redis Streams)
  • Cross-component queries and analytics
  • Data ownership and boundaries

Target Examples:

  • Stripe's event-driven architecture
  • LinkedIn's event bus
  • Netflix's data platform
  • Amazon's event sourcing patterns

6. Component Marketplace Models

Primary Question: How do successful marketplaces enable component discovery, installation, and monetization?

Sub-Questions:

  • Component discovery (search, categories, recommendations)
  • Pricing models (free, freemium, subscription, one-time)
  • Component bundling strategies
  • Quality assurance and curation
  • Rating and review systems
  • Developer onboarding and support

Target Examples:

  • WordPress plugin marketplace (60,000+ plugins)
  • Shopify app store (7,000+ apps)
  • Salesforce AppExchange (5,000+ apps)
  • HubSpot marketplace
  • Zapier integrations (5,000+ apps)

7. Unified Memory and Context Management

Primary Question: How can session state and user context be shared across independent components?

Sub-Questions:

  • Distributed session management
  • Context propagation patterns
  • Cross-component workflow tracking
  • Unified activity logs
  • Session replay across components

Target Examples:

  • Google account context across Workspace apps
  • Microsoft account sync across Office apps
  • Apple Continuity across devices
  • Slack workspace context

8. Pricing Models for Product Suites

Primary Question: What pricing strategies work best for modular product suites?

Sub-Questions:

  • À la carte vs bundles
  • Usage-based vs seat-based pricing
  • Free tier + premium components
  • Enterprise custom bundles
  • Pricing psychology (anchoring, value perception)

Target Examples:

  • Adobe Creative Cloud pricing (individual apps vs full suite)
  • Microsoft 365 tiers (Business Basic, Standard, Premium)
  • Atlassian pricing (by product, by user count)
  • Salesforce edition pricing

Research Methodology

Phase 1A: Product Suite Case Studies (Days 1-2)

Deliverable: 10-15 case studies (2-3 pages each)

For each case study:

  1. Company and product suite overview
  2. Component architecture (diagram)
  3. Integration patterns
  4. Data sharing approach
  5. Customer selection process
  6. Pricing model
  7. Key success factors
  8. Lessons learned
  9. Applicability to CODITECT

Target Case Studies:

  1. Adobe Creative Cloud
  2. Microsoft 365
  3. Atlassian Suite
  4. JetBrains Toolbox
  5. Google Workspace
  6. Salesforce Platform
  7. HubSpot CRM Platform
  8. Shopify + App Ecosystem
  9. WordPress + Plugin Ecosystem
  10. Figma + Plugins

Phase 1B: Technical Architecture Research (Days 3-4)

Deliverable: Technical architecture patterns catalog (20-30 pages)

Topics:

  1. Microservices Composition

    • Service mesh patterns
    • API gateway strategies
    • Inter-service communication
    • Data consistency patterns
  2. Micro-Frontends

    • Module federation
    • Runtime vs build-time composition
    • Shared state management
    • Performance optimization
  3. Event-Driven Architectures

    • Event sourcing
    • CQRS
    • Event bus implementations
    • Stream processing
  4. Distributed Data Management

    • Database per service
    • Shared data layer
    • Distributed transactions
    • Cross-service queries
  5. Plugin/Extension Systems

    • Sandboxing and security
    • API versioning
    • Plugin lifecycle
    • Quality assurance

Phase 1C: Unified Memory and Context (Day 5)

Deliverable: Context management patterns (10-15 pages)

Topics:

  1. Distributed session management

    • Session storage (Redis, FoundationDB)
    • Session replication
    • Session affinity
  2. Context propagation

    • Request context (headers, metadata)
    • Distributed tracing (Jaeger, Zipkin)
    • Correlation IDs
  3. Cross-component workflows

    • Workflow engines (Temporal, Airflow)
    • State machines
    • Saga pattern
  4. Unified activity logs

    • Event aggregation
    • Timeline construction
    • Search and filtering

Phase 1D: Marketplace and Pricing Research (Days 6-7)

Deliverable: Marketplace models and pricing strategies (15-20 pages)

Topics:

  1. Component Marketplaces

    • Discovery mechanisms
    • Installation and updates
    • Dependency management
    • Quality curation
    • Rating systems
    • Developer onboarding
  2. Pricing Models

    • À la carte pricing
    • Bundle pricing
    • Tiered pricing
    • Usage-based pricing
    • Freemium strategies
    • Enterprise custom pricing
  3. Customer Selection

    • Component picker UIs
    • Use case recommendations
    • Bundle templates
    • Trial and migration paths

Deliverables

1. Research Findings Document (50-70 pages)

Structure:

  • Executive Summary (3-5 pages)
  • Product Suite Case Studies (20-30 pages)
  • Technical Architecture Patterns (20-30 pages)
  • Unified Memory and Context (10-15 pages)
  • Marketplace and Pricing Models (15-20 pages)
  • Recommendations for CODITECT (5-10 pages)
  • References and Resources (2-5 pages)

2. Best Practices Catalog (20-30 pages)

Categories:

  • Component Boundary Design
  • Integration Patterns
  • Data Sharing Strategies
  • Versioning and Compatibility
  • Security and Sandboxing
  • Performance Optimization
  • Customer Experience
  • Pricing and Monetization

3. Architecture Pattern Library (15-20 pages)

Visual Diagrams:

  • Component composition patterns
  • Service mesh architecture
  • Micro-frontend integration
  • Event bus topology
  • Distributed session management
  • Plugin lifecycle
  • Marketplace architecture

4. Recommendations Document (10-15 pages)

For CODITECT:

  • Recommended architecture approach
  • Component categorization strategy
  • Integration pattern selection
  • Data layer architecture
  • MEMORY-CONTEXT integration approach
  • Marketplace design
  • Pricing model recommendations
  • Implementation priorities
  • Risk mitigation strategies

Research Sources

Industry Reports and Whitepapers

  • Gartner: Application Architecture trends
  • Forrester: Enterprise Software Suites
  • ThoughtWorks Technology Radar
  • Martin Fowler: Microservices patterns
  • Netflix Tech Blog
  • Uber Engineering Blog
  • Airbnb Engineering Blog

Technical Documentation

  • Adobe Developer Documentation
  • Microsoft Architecture Center
  • Atlassian Developer Guides
  • AWS Well-Architected Framework
  • Google Cloud Architecture Framework

Books and Publications

  • "Building Microservices" by Sam Newman
  • "Micro Frontends in Action" by Michael Geers
  • "Domain-Driven Design" by Eric Evans
  • "Enterprise Integration Patterns" by Gregor Hohpe

Open Source Projects

  • Single-SPA (micro-frontends)
  • Lerna (monorepo management)
  • Nx (monorepo tooling)
  • Backstage (Spotify's developer portal)

Success Criteria

Completeness

  • 10+ product suite case studies completed
  • 20+ technical architecture patterns documented
  • 10+ marketplace models analyzed
  • 5+ pricing strategies compared
  • All 8 research questions answered

Depth

  • Each case study includes architecture diagrams
  • Technical patterns include code examples where applicable
  • Recommendations are specific and actionable
  • Trade-offs clearly articulated

Applicability

  • Patterns mapped to CODITECT requirements
  • Implementation complexity assessed
  • Cost-benefit analysis for each approach
  • Quick wins vs long-term investments identified

Quality

  • All sources cited and referenced
  • Visual diagrams for all architecture patterns
  • Consistent formatting and structure
  • Executive summary suitable for leadership presentation

Timeline

DayActivityDeliverable
Day 1Product suite research (Adobe, Microsoft, Atlassian)3-4 case studies
Day 2Product suite research (Google, JetBrains, Salesforce)4-5 case studies
Day 3Microservices and micro-frontends researchArchitecture patterns catalog (Part 1)
Day 4Event-driven and data management researchArchitecture patterns catalog (Part 2)
Day 5Unified memory and context researchContext management patterns
Day 6Marketplace and pricing researchMarketplace models document
Day 7Synthesis and recommendationsFinal research findings document

Agent Coordination

Web Search Researcher Agent Tasks

Task 1: Product Suite Case Studies

Research successful product suite architectures (Adobe Creative Cloud, Microsoft 365,
Atlassian Suite, etc.) and document:
- Component architecture and boundaries
- Integration patterns
- Data sharing approaches
- Customer selection processes
- Pricing models
- Key success factors and lessons learned

Task 2: Technical Architecture Patterns

Research microservices composition, micro-frontends, event-driven architectures,
and plugin systems. Document:
- Architecture patterns with diagrams
- Integration strategies
- Data consistency patterns
- Security and sandboxing
- Performance optimization
- Code examples where applicable

Task 3: Unified Memory and Context

Research distributed session management, context propagation, and cross-component
workflow tracking. Document:
- Session storage patterns
- Context propagation techniques
- Distributed tracing
- Workflow engines
- Activity log aggregation

Task 4: Marketplace and Pricing

Research component marketplaces (WordPress, Shopify, Salesforce) and pricing models.
Document:
- Discovery and installation mechanisms
- Quality curation strategies
- Pricing models (à la carte, bundles, tiered)
- Customer selection UIs
- Developer onboarding

Task 5: Synthesis and Recommendations

Synthesize all research findings and create actionable recommendations for CODITECT:
- Recommended architecture approach
- Component categorization strategy
- Integration patterns
- MEMORY-CONTEXT integration
- Marketplace design
- Pricing model
- Implementation priorities

Next Steps After Phase 1

Upon completion of Phase 1 research:

  1. Present findings to stakeholders

    • Executive summary presentation
    • Architecture recommendations
    • Budget and timeline estimates
    • Go/no-go decision
  2. Begin Phase 2: Unified Data Model Design

    • Use research findings to inform data model
    • Engage senior-architect and foundationdb-expert agents
    • Design MEMORY-CONTEXT integration specification
  3. Update orchestration plan

    • Refine timeline based on research findings
    • Adjust budget estimates
    • Identify additional risks and mitigations

Document Status

Version: 1.0 Status: Active - Research In Progress Created: 2025-11-26 Owner: Web Search Researcher Agent Next Review: End of Day 7 (Research Complete)


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