resolve_pr_parallel

To resolve PR review threads in parallel, you can use an automated workflow that fetches unresolved threads via GraphQL and spawns separate agents to handle each thread concurrently. This parallel processing accelerates code reviews by reducing sequential bottlenecks.

Yes, you can automate the resolution of unresolved GitHub pull request comments. The workflow fetches threads via GraphQL, processes fixes in parallel, commits and pushes changes, then marks threads as resolved using the GitHub API with result verification.

Yes, you need gh and jq installed to automate parallel PR thread processing. The workflow relies on gh for GitHub API interactions and jq for parsing JSON data, such as structuring the GraphQL responses identifying unresolved threads.

The best way to handle multiple unresolved code review threads is parallelizing the work. By spawning per-thread agents based on GraphQL-fetched thread data, you can address fixes concurrently rather than handling each unresolved comment sequentially.

GraphQL fetches unresolved PR threads by querying the GitHub API for thread paths and comments, ensuring complete coverage of required fixes. This data structures the parallel processing workload, allowing agents to target specific threads simultaneously.

You should avoid using parallel agents to resolve pull request threads when review threads are highly interdependent. If fixes in one thread impact the same code paths as another, parallel agents might cause conflicts or overwrite changes during the commit and push workflow.