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Platform Evolution and Runtime Agents

This document provides a comprehensive overview of Platform Evolution and Runtime agents in the ConnectSoft AI Software Factory. It is written for product managers, platform owners, and stakeholders who need to understand how the Factory enables runtime customization and platform evolution.

Platform Evolution and Runtime agents operate post-production, enabling runtime customization, feature management, self-service capabilities, low-code APIs, localization, feedback processing, and cost optimization. These agents ensure platforms evolve continuously based on user needs and usage patterns.

Important

Platform Evolution and Runtime agents enable continuous platform evolution and runtime customization. They manage feature toggles, build self-service portals, create low-code APIs, handle localization, process user feedback, and optimize costs—ensuring platforms remain relevant, customizable, and cost-effective throughout their lifecycle.

Agent Cluster Composition

The Platform Evolution and Runtime cluster consists of 6+ specialized agents:

Agent Core Function Primary Output
Feature Toggle and Edition Manager Agent Manages feature flags and product editions Feature toggle configurations, edition definitions
Self-Service Portal Builder Agent Creates self-service portals for users Portal implementations, self-service configurations
Low-Code API Platform Agent Enables low-code API creation and customization Low-code API platforms, API builders
Localization and Internationalization Agent Handles multi-language support Localization files, i18n configurations
Feedback and Evolution Agent Collects and processes user feedback Feedback analysis, evolution recommendations
Platform Cost Optimization Agent Optimizes infrastructure and operational costs Cost optimization reports, optimization recommendations

Mission and Scope

Platform Evolution and Runtime agents are responsible for:

  • Runtime Customization - Enabling users to customize platforms without code changes
  • Feature Management - Managing feature flags and product editions
  • Self-Service Capabilities - Building portals for user self-service
  • Low-Code APIs - Enabling non-developers to create APIs
  • Localization - Supporting multiple languages and regions
  • Feedback Processing - Collecting and analyzing user feedback
  • Cost Optimization - Optimizing infrastructure and operational costs

What They Do:

  • Manage feature toggles and product editions
  • Build self-service portals
  • Create low-code API platforms
  • Handle localization and internationalization
  • Process user feedback and generate insights
  • Optimize platform costs
  • Enable runtime configuration changes

What They Do NOT Do:

  • Generate initial code (Engineering agents)
  • Deploy systems (DevOps agents)
  • Design architecture (Architect agents)

Position in Factory Lifecycle

Platform Evolution and Runtime agents operate post-production:

flowchart LR
    Production[Production Deployment] --> FeatureToggle[Feature Toggle Manager]
    Production --> SelfService[Self-Service Portal Builder]
    Production --> LowCode[Low-Code API Platform]
    Production --> Localization[Localization Agent]
    Production --> Feedback[Feedback Evolution Agent]
    Production --> CostOpt[Cost Optimization Agent]

    Feedback --> Vision[Vision & Planning Agents]
    CostOpt --> DevOps[DevOps Agents]

    style Production fill:#e1f5ff
    style FeatureToggle fill:#fff4e1
    style Feedback fill:#e8f5e9
    style Vision fill:#f3e5f5
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Runtime Customization Flow

flowchart TD
    User[User Request] --> Portal[Self-Service Portal]
    Portal --> LowCode[Low-Code API Platform]
    LowCode --> FeatureToggle[Feature Toggle Manager]
    FeatureToggle --> Runtime[Runtime Configuration]

    User --> Feedback[User Feedback]
    Feedback --> FeedbackAgent[Feedback Evolution Agent]
    FeedbackAgent --> Vision[Vision & Planning Agents]

    Runtime --> CostOpt[Cost Optimization Agent]
    CostOpt --> Optimization[Optimized Runtime]

    style User fill:#e1f5ff
    style Portal fill:#fff4e1
    style Runtime fill:#e8f5e9
    style Vision fill:#f3e5f5
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Individual Agent Details

Feature Toggle and Edition Manager Agent

Role: Manages feature flags and product editions

Responsibilities: - Create and manage feature toggles - Define product editions (lite, pro, enterprise) - Configure feature availability per edition - Manage feature rollout strategies - Enable/disable features at runtime - Track feature usage and adoption - Generate feature toggle reports

Inputs: - Feature definitions - Edition requirements - Rollout strategies - User segments

Outputs: - Feature toggle configurations - Edition definitions - Feature availability matrices - Toggle usage reports - Event: FeatureToggleUpdated

Key Deliverables: - Feature Toggle Configurations - Runtime feature flag settings - Edition Definitions - Product edition configurations - Rollout Strategies - Gradual rollout plans - Usage Reports - Feature adoption metrics

See: Detailed Feature Toggle and Edition Manager Agent specification in Factory Documentation

Self-Service Portal Builder Agent

Role: Creates self-service portals for users

Responsibilities: - Generate self-service portal interfaces - Create user-facing configuration UIs - Build portal workflows and forms - Integrate with backend APIs - Enable user self-service capabilities - Generate portal documentation - Configure portal access controls

Inputs: - Portal requirements - User personas - Self-service capabilities needed - UI/UX guidelines

Outputs: - Self-service portal implementations - Portal configurations - User documentation - Portal access controls - Event: SelfServicePortalReady

Key Deliverables: - Portal Interfaces - User-facing self-service UIs - Portal Workflows - Self-service process flows - Portal Documentation - User guides and help content - Access Controls - Portal security and permissions

See: Detailed Self-Service Portal Builder Agent specification in Factory Documentation

Low-Code API Platform Agent

Role: Enables low-code API creation and customization

Responsibilities: - Create low-code API builder interfaces - Generate API endpoints from visual configurations - Enable non-developers to create APIs - Provide API templates and patterns - Generate API documentation - Configure API security and access - Integrate with existing APIs

Inputs: - API requirements - Data models - Integration needs - Security requirements

Outputs: - Low-code API platform implementations - API builder configurations - Generated API endpoints - API documentation - Event: LowCodeAPIPlatformReady

Key Deliverables: - API Builder Interfaces - Visual API creation tools - Generated APIs - APIs created from visual configurations - API Templates - Reusable API patterns - API Documentation - Auto-generated API docs

See: Detailed Low-Code API Platform Agent specification in Factory Documentation

Localization and Internationalization Agent

Role: Handles multi-language support

Responsibilities: - Extract translatable strings from code - Generate localization files - Support multiple languages and regions - Handle date/time formatting - Manage currency and number formatting - Generate i18n configurations - Validate translation completeness

Inputs: - Source code with strings - Target languages - Regional requirements - Translation preferences

Outputs: - Localization files (JSON, RESX, etc.) - i18n configurations - Translation reports - Language-specific configurations - Event: LocalizationReady

Key Deliverables: - Localization Files - Translated strings for each language - i18n Configurations - Internationalization settings - Translation Reports - Completeness and quality metrics - Regional Configurations - Locale-specific settings

See: Detailed Localization and Internationalization Agent specification in Factory Documentation

Feedback and Evolution Agent

Role: Collects and processes user feedback

Responsibilities: - Collect user feedback from multiple sources - Analyze feedback sentiment and themes - Identify feature requests and pain points - Generate feedback summaries - Prioritize feedback based on impact - Create evolution recommendations - Feed insights to Vision & Planning agents

Inputs: - User feedback (surveys, support tickets, in-app) - Usage analytics - Customer success data - Product telemetry

Outputs: - Feedback analysis reports - Evolution recommendations - Feature request prioritization - User sentiment analysis - Event: FeedbackProcessed

Key Deliverables: - Feedback Reports - Comprehensive feedback analysis - Evolution Recommendations - Product improvement suggestions - Feature Prioritization - Ranked feature requests - Sentiment Analysis - User satisfaction metrics

See: Detailed Feedback and Evolution Agent specification in Factory Documentation

Platform Cost Optimization Agent

Role: Optimizes infrastructure and operational costs

Responsibilities: - Analyze infrastructure costs - Identify cost optimization opportunities - Recommend resource right-sizing - Optimize cloud resource usage - Suggest cost-saving strategies - Monitor cost trends - Generate cost optimization reports

Inputs: - Infrastructure usage data - Cost metrics - Resource utilization data - Cloud provider pricing

Outputs: - Cost optimization reports - Optimization recommendations - Cost trend analysis - Resource optimization plans - Event: CostOptimizationCompleted

Key Deliverables: - Cost Reports - Infrastructure cost analysis - Optimization Recommendations - Actionable cost-saving strategies - Trend Analysis - Cost projection and trends - Resource Plans - Right-sizing recommendations

See: Detailed Platform Cost Optimization Agent specification in Factory Documentation

Agent Collaboration Flow

flowchart TD
    Production[Production Systems] --> FeatureToggle[Feature Toggle Manager]
    Production --> SelfService[Self-Service Portal Builder]
    Production --> LowCode[Low-Code API Platform]
    Production --> Localization[Localization Agent]
    Production --> Feedback[Feedback Evolution Agent]
    Production --> CostOpt[Cost Optimization Agent]

    FeatureToggle --> Runtime[Runtime Configuration]
    SelfService --> Runtime
    LowCode --> Runtime

    Feedback --> Vision[Vision & Planning Agents]
    CostOpt --> DevOps[DevOps Agents]

    Runtime --> Users[End Users]
    Users --> Feedback

    style Production fill:#e1f5ff
    style Runtime fill:#fff4e1
    style Feedback fill:#e8f5e9
    style Vision fill:#f3e5f5
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Typical Workflows

Workflow: Feature Rollout with Toggles

  1. Feature Toggle Manager creates feature toggle
  2. Configure Rollout - Set up gradual rollout strategy
  3. Enable for Beta Users - Activate for test group
  4. Monitor Usage - Track feature adoption
  5. Gradual Expansion - Roll out to more users
  6. Full Rollout - Enable for all users
  7. Remove Toggle - Clean up after full rollout

Workflow: User Feedback Loop

  1. Users Provide Feedback - Through various channels
  2. Feedback Evolution Agent collects and analyzes
  3. Generate Insights - Identify themes and priorities
  4. Feed to Vision & Planning - Product improvement ideas
  5. Plan Features - New features based on feedback
  6. Implement - Engineering agents implement features
  7. Deploy - DevOps agents deploy updates
  8. Monitor - Track feedback on new features

Workflow: Cost Optimization

  1. Cost Optimization Agent analyzes costs
  2. Identify Opportunities - Find cost-saving areas
  3. Generate Recommendations - Actionable optimization plans
  4. DevOps Agents implement optimizations
  5. Monitor Savings - Track cost reduction
  6. Continuous Optimization - Ongoing cost monitoring

Collaboration with Other Agents

With Growth and Marketing Agents

Receive: - User engagement data - Feature usage metrics - A/B test results

Use For: - Feature toggle decisions - Portal customization - Cost optimization

With Vision & Planning Agents

Provide: - User feedback insights - Feature request prioritization - Evolution recommendations

Receive: - Product roadmap - Feature priorities - Business goals

With DevOps Agents

Provide: - Cost optimization recommendations - Resource optimization plans

Receive: - Infrastructure updates - Cost reduction confirmations

Runtime Customization Benefits

These agents enable:

  • User Empowerment - Users customize platforms without code
  • Rapid Iteration - Features can be toggled without redeployment
  • Cost Efficiency - Continuous cost optimization
  • Global Reach - Multi-language support
  • User-Centric Evolution - Platforms evolve based on feedback
  • Self-Service - Reduced support burden