September 2025 Summaries

Linear's zero-bug policy is a strategic approach to maintaining high-quality software by addressing bugs immediately based on their severity, with high-priority bugs fixed within 48 hours and others within seven days. This policy arose from the realization that delaying bug fixes causes unnecessary user frustration and effort, leading the team to clear an initial backlog of 175 bugs over three weeks. The zero-bug policy is ingrained in Linear's culture, prompting engineers to prioritize quality and avoid introducing bugs, which fosters a collaborative relationship with users who appreciate quick resolutions. Weekly dashboard reviews help manage workloads and resource allocation, ensuring that engineers maintain a balance and preventing the accumulation of bugs. This approach not only improves the product but also transforms customer interactions into positive experiences, turning users into advocates and enhancing the company's reputation for reliability.

Dashboards in Linear are utilized by organizations like Commure, a healthcare technology company, to enhance performance tracking and planning across teams. These customizable dashboards consolidate multiple insights, allowing leaders to maintain oversight on both immediate and long-term scales. Commure uses dashboards for daily assessments of triage, SLA performance, and postmortem follow-through, as well as for periodic evaluations of engineering time allocation to ensure alignment with company priorities. Tools such as burnup charts help visualize shifts in issue volume, while specific dashboards track high-priority issues, SLA performance, project estimates, cycle times by assignee, and engineering hygiene. This comprehensive approach enables teams to identify trends, allocate resources effectively, and address potential issues proactively, thus supporting efficient project management and strategic planning.

Triage Intelligence is a tool developed to streamline the organization of backlogs for product teams by utilizing advanced search, ranking, and large language model (LLM)-based reasoning to manage incoming issues more effectively. It employs semantic search and larger models like GPT-5 and Gemini 2.5 Pro to provide better suggestion quality for complex issues, enabling features such as duplicate detection, related issue suggestions, and property recommendations, all while maintaining transparency and trust in its AI-generated outputs. The design integrates seamlessly with Linear's existing interface, ensuring fast and trustworthy decision-making by clearly distinguishing between human-set issue metadata and AI-driven suggestions. As Triage Intelligence evolves, it aims to increase automation and improve decision accuracy by drawing on richer contextual data, with plans to expand its capabilities beyond triage support, offering a preview in Linear's Business and Enterprise plans.