Gaffer FAQs

Question 1

What is Gaffer and what does it do?

Accepted Answer

Gaffer is an MCP (Model Context Protocol) server designed to connect AI coding assistants like Claude Code and Cursor to your Gaffer test history and code coverage data. It empowers AI to understand and analyze your test suite for enhanced debugging and project analysis.

Question 2

How does Gaffer enhance AI coding assistants?

Accepted Answer

Gaffer provides AI assistants with critical context by allowing them to check project test health, access historical test data, analyze code coverage, get detailed test failure context, and browse comprehensive test reports, making debugging and analysis more intelligent.

Question 3

What kind of test insights can Gaffer provide?

Accepted Answer

Gaffer offers deep insights including project pass rates, flaky test detection, historical pass/fail data for specific tests, code coverage summaries, identification of slowest tests, and the ability to group failed tests by root cause using error message similarity.

Question 4

Can Gaffer help improve my code coverage?

Accepted Answer

Absolutely. Gaffer provides tools to analyze code coverage, identify untested files or areas, and even pinpoint 'uncovered failure areas' – files with both low coverage and frequent test failures, helping you prioritize where to focus your testing efforts for maximum impact.

Question 5

Which AI coding assistants are supported by Gaffer?

Accepted Answer

Gaffer is built to integrate seamlessly with leading AI coding assistants, specifically supporting Claude Code and Cursor, through its MCP server for a streamlined developer experience.

Gaffer

Gaffer

主要功能

使用案例

主要功能

使用案例