ralph_research

Automating Linear ticket research involves fetching ticket details, analyzing linked documents, searching the codebase, and conducting web research. This process synthesizes findings into structured research documents and updates the Linear ticket status and comments automatically.

Investigating high-priority Linear bugs is best handled by automatically examining relevant code, searching for similar problems online, and documenting potential solutions. The automated research process selects the highest priority ticket, gathers information, and creates detailed research documents.

Automated ticket research requires integration with Linear CLI and internal tooling for ticket management and synchronization. This setup allows the workflow to fetch ticket details, update workflow states, add comments, and attach research findings directly to the Linear ticket.

You can use this automation to document codebase research for new Linear tickets. It gathers information from codebase implementations and external web resources, then creates detailed research documents in the thoughts/shared/research/ directory to provide structured findings.

Ticket prioritization for automating Linear research works by identifying and selecting the highest priority Linear ticket requiring research. The automation then moves the selected ticket through workflow states as it investigates the issue and updates the ticket with findings.