2 posts tagged with "ai"

Ask AI is TestRelic’s primary full-page conversational interface for turning natural language into answers about your organization’s tests, runs, and quality signals—and, when appropriate, into structured artifacts you can share or iterate on. The authoritative specification lives in the Ask AI documentation; this article expands that material with additional cross-links for teams evaluating Ask AI against IDE-only tooling such as the TestRelic MCP server.

Coding assistants are only as good as the context they see. Pasting stack traces into chat scales poorly; re-fetching structured run history from your org is better. The TestRelic MCP server implements the Model Context Protocol so compatible hosts—Cursor, Claude Desktop, VS Code MCP clients, and others—can call tools that read your TestRelic cloud projects, runs, coverage signals, and related data. The MCP overview positions MCP alongside the SDK reporters: reporters write run data from CI and laptops; MCP reads and acts on that data inside the IDE loop.