What Happens When You Give AI Agents the Map of Your Code’s Coverage? | The .NET Tools Blog

The introduction of the "finding-tests" skill in JetBrains Rider 2026.2 EAP aims to streamline the process of AI-assisted test generation by utilizing .NET coverage data from the dotCover tool, reducing token costs by 50% and decreasing unnecessary exploration of projects by AI agents. This new skill assists AI agents by providing them with precise test file paths, allowing them to follow existing testing conventions without the need for extensive searches through the codebase. By integrating agent skills, which are specialized workflows and knowledge extensions for AI, Rider enables more efficient test placement and style conformity, ultimately saving time and resources. While the feature is designed to enhance development workflows and reduce costs, it also requires coverage analysis that can be time-consuming for large projects. Users have the flexibility to enable or disable the skill based on project needs, and feedback from this Early Access Program will determine future enhancements, including potential automatic unit test generation to meet specific code coverage targets.

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