10 items tagged with "ai"
GitHub Agentic Workflows let AI agents run as CI. Here's how we connected Gaffer's MCP server for automated weekly test health reviews.
AI coding tools know your code but not your tests. Test intelligence via MCP bridges the gap with flaky detection, failure clustering, and coverage data.
Claude Code, Cursor, and Windsurf can query your test history, find flaky tests, and diagnose failures — if you give them structured data. Here's how.
Agents write code and run tests. But when tests fail, they're flying blind. Here's how test intelligence closes the loop.
Test failure clusters are now automatically categorized as product bugs, automation bugs, or environment issues using AI.
New API endpoints and MCP tools for AI agents to diagnose CI failures and check upload progress.
Query test coverage metrics directly from Claude Code.
New tools for comparing test metrics between commits and analyzing test run details with filtering.
Query your test data directly from Claude and other AI assistants using the Model Context Protocol.
Get AI-generated insights explaining why your tests failed and suggestions for fixes.