fix-issue

Automate GitHub issue resolution by decomposing issues into tasks, dispatching parallel subagents to work simultaneously, and applying quality gates between batches. This approach coordinates execution across related issues, retrieves issue content via GitHub APIs, extracts acceptance criteria, generates structured task plans, and gates completion with code review before finalizing updates.

Yes, the workflow accepts flexible input formats: a single issue number, a full GitHub URL, or space-delimited lists of multiple issues. The system retrieves issue content, discovers dependencies, and dispatches subagents accordingly, adapting to your input scope without configuration changes.

Quality gates apply between batches: after subagents complete work in parallel, the workflow routes code for review before proceeding to the next batch of dependent tasks. This ensures each batch meets standards before downstream tasks begin, preventing cascading failures and maintaining code quality.

The workflow uses GitHub APIs and CLI to retrieve issue content, extract requirements, and automate finalization including issue updates. No additional tools beyond GitHub access are required; the system handles discovery, planning, and dispatch natively.

Parallel dispatch executes independent tasks simultaneously across multiple subagents to reduce wall-clock time. Sequential execution handles dependent tasks in order after quality gates pass. The workflow combines both: parallel work within batches, gating between batches, then sequential completion of tasks with dependencies.

Yes, the workflow is designed for systematic triage and remediation across related issues. It automates discovery, dependency analysis, task planning, parallel dispatch, and completion. Use it to address multiple interconnected issues methodically rather than ad-hoc fixes.