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Description
Feature: Create a New Mode for Managing Issue-Tasks Workers in Parallel
Motivation
To maximize throughput and efficiency, the system should support a mode that can orchestrate and monitor multiple issue-task workers running in parallel. This is especially important for large-scale automation, CI/CD, or distributed task processing.
Requirements
- Implement a new mode (e.g.,
parallel-workers
) that can:- Launch, monitor, and manage multiple worker processes or containers concurrently.
- Dynamically scale the number of workers based on queue depth, resource availability, or configuration.
- Provide real-time status, logs, and error reporting for each worker.
- Support graceful shutdown, restart, and failure recovery for workers.
- Integrate with both local Docker and cloud backends (e.g., Azure Container Apps).
- Expose CLI and/or API controls for starting, stopping, and querying parallel workers.
- Document usage and configuration options.
Action Items
- Design the parallel worker orchestration architecture.
- Implement worker lifecycle management.
- Add monitoring, logging, and error handling.
- Integrate with existing task queue and runner logic.
- Provide documentation and usage examples.
This mode will enable robust, scalable parallel processing for the issue-tasks system.
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