Optimized system performance metrics by refactoring asynchronous task execution and streamlining log file rotation across core modules.

Key changes include:

Refactored Background Workers (phases/phase4content.py): Reconfigured task queues to prevent memory leaks during long-running generation loops. Replaced redundant polling mechanisms with event-driven triggers, reducing CPU utilization during idle phases.

Log Management and Cleanup (core/tools/buildinpublic.py): Implemented automated log rotation with strict retention limits. Streamlined stdout interception to filter out verbose system noise, ensuring only critical performance metrics and execution errors are persisted.

Architectural Efficiency: Improved IO-bound operations by optimizing context managers within the content pipeline. These adjustments prevent file descriptor exhaustion and ensure cleaner teardowns during process termination.

All automated test suites pass. Resource allocation metrics show a measurable reduction in baseline overhead.