Feature: Create a Mode to Determine Parallelizability of Issue Groups

Motivation

To optimize throughput and resource allocation, the system should support a mode that analyzes a group of GitHub issues and determines whether they can be safely worked on in parallel. This is critical for avoiding conflicts, redundant work, or resource contention in large-scale automation and collaborative workflows.

Requirements

• Implement a new mode (e.g., parallelizability-analyzer) that can:
  • Accept a group of issues (by URL, number, or query).
  • Analyze dependencies, file overlaps, labels, or other metadata to detect potential conflicts.
  • Use heuristics, static analysis, or user-provided rules to assess parallelizability.
  • Output a report indicating which issues can be worked on in parallel and which are blocked or dependent.
  • Integrate with the task manager and parallel worker modes for automated scheduling.
• Expose CLI and/or API controls for running the analysis and retrieving results.
• Document usage, configuration, and limitations.

Action Items

• Design the parallelizability analysis architecture.
• Implement dependency and conflict detection logic.
• Integrate with issue/task metadata and scheduling.
• Provide documentation and usage examples.

This mode will enable intelligent, conflict-free parallel task execution for the issue-tasks system.