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Analysis

LinearB opens software-delivery data to natural-language questions

LinearB has launched Agentic Studio, a workspace for asking questions about software delivery using connected engineering data. Managers can request charts and metrics in ordinary language, inspect the numbers behind answers and share dashboard items. Company administrators decide which roles can use the workspace and can disable access across the organization.

Artificial Intelligence··Midday
Close-up of a wall-mounted screen in an engineering meeting room, showing an empty question field above a bar chart with dashboard tiles alongside.

Agentic Studio brings delivery data into a workspace

LinearB, a software engineering analytics company, has introduced Agentic Studio to make software-delivery context accessible to people and AI agents. The workspace brings questions about engineering activity into a common interface. Its launch concerns the use of connected delivery data across the organization.[1], [2]

Questions produce charts and inspectable numbers

The company’s November 2 announcement describes a question box connected to data from Git repositories, issue trackers and continuous integration systems that automatically check code changes. The assistant returns a chart and its underlying numbers, identifies the metric and date range, and interprets the result. Numerical values come from live queries to LinearB’s public application programming interface. Example questions explore teams with longer delivery times and stages where work has slowed. Users can also describe a metric or chart in ordinary language, then add the resulting item to a dashboard and share it.[1]

Administrators control roles and dashboard access

Personal dashboards, shared dashboards and the company’s dashboard catalogue appear in a searchable list. Existing AI analytics dashboards become items that users can copy and modify. Company administrators decide which roles receive Agentic Studio and can disable it for everyone. Users can return to the classic view, which remembers their previous location. Delivery measures available in the product include review time, rework, deployment frequency and service restoration time.[1]

References

  1. News sourceLinearBLinearB launches Agentic Studio to query software-delivery data↩1↩2↩3
  2. News sourceUnite.AILinearB introduces Agentic Studio↩