Linear's Product Intelligence feature uses LLMs and semantic search to automatically organize backlogs by detecting duplicates, suggesting labels and assignees, and linking related issues. The system evolved from small models with rigid workflows to larger agentic models that can pull additional context for better decision-making. The implementation focuses on trust, transparency, and seamless integration, with UI design that shows reasoning processes and allows natural language customization through Additional Guidance settings.
Table of contents
Better search + bigger models Design for reasoning models The future of Product Intelligence Sort: