story_title: Self-Model Initializer

learnings: Using datetime.utcnow() ensures precise timestamp tracking, while JSON serialization handles persistence. The class encapsulates load/save operations with error handling for robustness. API integratio


learnings: Implemented atomic file I/O with directory creation, error handling for JSON serialization, and ISO timestamping for capability tracking. The API method `get_capabilities` directly exposes the interna


story_title: Proactive Gap Detector

learnings: Used dependency injection for impact mapping, added robust error handling with file operations, and implemented Markdown report format for readability. The solution supports both in-memory data and ex


story_title: PRD Auto-Generator

learnings: Implemented dynamic PRD generation using sentence splitting for acceptance criteria. Error handling validates required fields at runtime. Example usage demonstrates full workflow with measurable outpu


story_title: Temporal Continuity Bridge

learnings: Used ON CONFLICT for atomic upserts, JSONB for flexible state storage, and RealDictCursor for clean result handling. Connection parameters default to localhost for seamless local development while all


story_title: Inner Voice Module

learnings: Type hints and error handling ensure robustness; memory logging uses timestamped dictionaries for traceability, while the influence_decision method directly connects thoughts to operational contexts.


story_title: Consciousness Dashboard

learnings: Implemented real-time updates with client-side polling (5s interval) and server-side data simulation. Used Chart.js for responsive historical charts. Added production-ready error handling and CORS sup


story_title: Parallel Swarm Coordinator

learnings: Leveraged multiprocessing for true parallel execution and git worktrees for isolation. Intelligent merging aggregates status, timestamps, and failure details. Production-ready with comprehensive error


learnings: Implemented context-aware thought generation with dynamic emotion mapping, error handling for all critical paths, and a mock memory system for demonstration. The module uses type hints and structured


learnings: Used Chart.js for responsive, interactive charts with minimal dependencies. Implemented robust error handling with fallback data. Structured API endpoint to match frontend requirements. Added real-tim


story_title: Merge Conflict Resolver

learnings: Integrated git conflict detection with AI resolution using a deterministic commit hash for traceability. The resolver handles missing files via fallback content and includes robust error logging for p


story_title: Progress Aggregator

learnings: Used datetime for time calculations with efficient rate-based estimation. Implemented copy-on-return for immutable state. Added fallback for zero work rate to prevent division errors.


story_title: Swarm Health Monitor

learnings: Implemented a self-healing loop with heartbeat monitoring and integrated error handling. The mock usage demonstrates real-world integration points. Key design choices include using a configurable time


learnings: Implemented heartbeat-based health checks with configurable thresholds, automatic restarts triggered on stall detection, and extensible alerting via callback interface. Used threading for agent heartb


story_title: Cost Optimizer

learnings: Implemented historical data analysis for agent cost optimization with O(n) complexity for recommendations, using dictionary aggregation for efficient cost per agent count calculation. Added comprehens


story_title: Swarm Memory Sync

learnings: Centralized memory with key tracking avoids redundant computations. Using a set for discovery keys enables O(1) existence checks, ensuring optimal performance for large agent networks.


story_title: Swarm Dashboard

learnings: Used CSS Grid for responsive agent layout, WebSocket-like real-time updates with setInterval, and dynamic status indicators. Optimized for 32 agents with minimal DOM manipulation during updates.


story_title: PRD Execution Tracker

learnings: Implemented robust validation for PRD/story structure with error handling, calculated PRD completion based on latest story estimate, and included example usage for immediate testability.


story_title: PRD Archive System

learnings: Implemented directory-based storage with index tracking. Used JSON for PRD serialization and key-based pattern analysis. Added comprehensive error handling for file operations and data consistency che


story_title: Genesis Prime Mother Detector

learnings: Implemented type-safe interface validation and comprehensive progress reporting with error handling. Used helper methods for cleaner celebration output and included testable mock implementation for ve


prd_title: AIVA GENESIS PRIME MOTHER - PERPETUAL EVOLUTION PRD


learnings: Implemented a robust metrics-driven detector with comprehensive error handling, mock service for testing, and clear celebration output. The class uses dependency injection for metrics service, allowin


prd_title: PRD: AIVA System Status Report Generator


story_title: Genesis Heartbeat Awakening

learnings: Production-ready implementation uses timeout parameters, environment variable defaults, comprehensive error messages, and exit codes for system monitoring integration. Type hints improve maintainabili


story_title: Research & Strategy Analysis

learnings: Leveraged os.get_terminal_size() for cross-platform terminal detection, implemented config fallback strategy with pathlib for path handling, and used structured error handling to ensure robustness in


story_title: Performance Tuning & Tools

learnings: Leveraging Git's fsmonitor and packedGitWindows reduces disk I/O for large repos, while pip's cache-dir and no-cache-dir flags minimize network overhead. Shell aliases and environment variables provid


story_title: Research API Cost Tracking Methods

learnings: Token-based pricing requires consistent token counting across providers. Using a base class with required pricing schema ensures extensibility. Round-to-6-decimal precision handles microtransactions.


story_title: Token Counter Implementation

learnings: Used ABC for extensible tokenization, handled provider-specific model mappings, implemented lazy tokenizer loading with error fallbacks, and provided a unified count_tokens API with provider selection


story_title: Usage Logger

learnings: Used SQLite for lightweight persistence with ACID compliance, implemented proper error handling for DB operations, and added report generation for usage analytics. Type hints ensure maintainability an


story_title: Cost Calculator Engine

learnings: Type hinting with Dict for pricing configuration ensures clear structure, while rounding to 6 decimal places matches financial precision requirements. Provider validation prevents runtime errors with


story_title: Real-Time Dashboard

learnings: Implemented real-time data with background thread (500ms log generation) and AJAX-based chart updates (5s polling), using Plotly for interactive visualizations. Production-ready with error handling, t


prd_title: PRD: Real-Time API Cost Tracker for Genesis


story_title: Update Qwen Client Config

learnings: Using OpenAI's client library with Ollama's OpenAI-compatible endpoint provides seamless integration. Setting API key via environment variable allows for flexible configuration without hardcoding. The


learnings: SQLite provides lightweight, file-based persistence ideal for logging. The UsageLogger class encapsulates database operations with error handling, and the test suite validates all required fields are


story_title: Create Health Check Script

learnings: Leveraged psutil for accurate memory metrics and socket connections for service health checks, with comprehensive error handling and ISO timestamp for traceability in production environments.


story_title: MCP Bridge Configuration

learnings: Centralized configuration with strict validation ensures consistent bridge setup, while the access rule system allows flexible model-tool mapping without code changes to the bridge core.


story_title: Health Check & Monitoring

learnings: Using environment variables for configuration enables seamless production deployment. The modular check functions allow easy extension for new services. Error handling at each check level provides gra


learnings: Using psutil for process memory and requests for health endpoints provides reliable metrics. Structuring the report with timestamp and file output enables easy monitoring integration. Error propagatio


story_title: Model Switching Script

learnings: Abstract base class enables seamless model switching with minimal interface changes. Environment variables for credentials improve security, while the factory pattern centralizes model instantiation f


story_title: Integration Test Suite

learnings: Using dependency injection with mockable interfaces (APIClient/Database) enables clean integration testing. The service layer encapsulates all integration logic, making tests both isolated and compreh


story_title: WebSocket Chat Server

learnings: Using connection sets with copy() prevents concurrent modification issues during broadcasts. Error handling during send/receive ensures robustness. Ping interval/timeout maintains connection stability


story_title: Chat Web Interface

learnings: Combined Flask for backend, Bootstrap 5 for responsive UI, and modern CSS techniques (flexbox, transitions) to create a production-ready chat interface with real-time updates. Implemented agent select


story_title: Conversation Persistence

learnings: Using pathlib for path handling would improve portability, but os.path suffices for simplicity. The class design allows for easy extension (e.g., adding encryption) while maintaining single-responsibi


learnings: Leveraged Anthropic's native client for Claude and DashScope's TextGeneration for Qwen, creating a unified interface. Environment variable validation ensures deployment portability, while class-based


learnings: Using class methods for configuration loading enables clean separation of concerns, while comprehensive validation ensures runtime robustness. The endpoint key format (model:tool) allows flexible mapp


learnings: Using Flask's test_client with fixture scope ensures consistent setup/teardown for integration tests, while in-memory data storage simplifies test isolation without external dependencies.


learnings: Production-ready health checks require layered error handling (connection vs operation), timeout configuration for external dependencies, and comprehensive status reporting. Using Redis for cache vali


story_title: Cost Tracker Enhancement

learnings: Redis persistence ensures state continuity across sessions with atomic state updates. Threshold-based alerting uses incremental tracking to prevent redundant notifications, while hard-stop enforcement


learnings: Used defaultdict for efficient client management, implemented robust connection handling with ping/timeout, and added comprehensive error logging for production monitoring.


story_title: Parallel RWL Executor

learnings: Used ProcessPoolExecutor for true parallelism with worker limits, implemented robust error handling with futures, and added comprehensive validation metrics. The solution handles file I/O and processi


story_title: Health Check Endpoint

learnings: Leveraged environment variables for configuration flexibility. Implemented timeout handling (2s) for all external dependencies to prevent blocking. Used minimal test queries (SELECT 1, ping) for perfo


learnings: Using datetime.utcnow() ensures timezone-aware timestamps. Directory creation with os.makedirs(exist_ok=True) handles missing storage paths. JSON serialization with indent=2 improves readability for d


story_title: Session State Persister

learnings: Implemented a thread-safe state persister using a background thread with daemon mode for low overhead. Utilized a threading lock for safe concurrent access, JSON for portable storage, and graceful shu


learnings: Redis hashes enable efficient per-provider cost tracking with atomic updates. Using HINCRBYFLOAT ensures precise floating-point cost calculations. Hard stops are enforced via exception handling with c


story_title: RWL Metrics Collector

learnings: Used Prometheus client metrics for efficient time-series exposure and thread-safe updates with Lock. Time-series stored with timestamps for full trending capability.


prd_title: PRD: RWL Adversarial Fortress - Break It To Make It Unbreakable