Changelog

Two new API endpoints help AI agents work smarter with your test results. Failure clustering groups failed tests by error similarity so agents can identify root causes (“15 failures → 2 bugs”). Upload session status lets agents check if CI results are ready before querying. Both are available as MCP tools (get_failure_clusters, get_upload_status). The full OpenAPI spec has also been rewritten with complete coverage of all v1 endpoints.

You can now delete individual test runs directly from the test run detail page, with full R2 artifact cleanup. New display settings let you hide suite names from the dashboard UI and Slack notifications. Organizations can also set a separate billing email that syncs with Stripe for invoicing.

Share test run results with anyone using public share links. Generate a unique URL from any test run detail page, set an expiration (1 hour to never), and share with teammates, stakeholders, or anyone — no Gaffer account required. Recipients see the full test run summary, stats, and embedded HTML report.

Export test pass rates, failure counts, and coverage percentages to your observability stack via OpenTelemetry. Built-in presets for Datadog and Grafana Cloud, plus a generic OTLP option for any compatible endpoint. Configure destinations, branch filters, and event types in Settings > OpenTelemetry.

Webhooks are now free and unlimited on all plans — no more plan-based limits. When you create or regenerate a webhook, the signing secret is now displayed in a one-time reveal modal with a copy button, so you can easily configure your endpoint’s signature verification.

Configure HTTP webhooks to receive POST requests when events occur in your projects. Supports branch filtering, configurable notification triggers for test runs and coverage, and HMAC-SHA256 payload signing for verification. Set them up in Settings → Webhooks.

Four new MCP tools for coverage analysis: get_coverage_summary for overall metrics and trends, get_coverage_for_file for path-specific coverage, get_untested_files for finding gaps, and find_uncovered_failure_areas for high-risk code with both low coverage and failing tests.

Gaffer now parses Clover XML, Cobertura XML, and JaCoCo XML coverage reports in addition to LCOV. Upload your coverage reports alongside test results and see line/branch/function metrics in the dashboard.

Generate shields.io-compatible badges for your project’s test health score, coverage percentage, and flaky test count. Find the embed codes in Project Settings → Badges.

Updated the project dashboard, test run details, and settings pages with cleaner layouts and better metadata organization.

Slack and GitHub notifications now include coverage changes. See coverage deltas in your CI status checks and Slack messages when test runs complete.

Added new MCP server tools for deeper test analytics:

• compare_test_metrics - Compare test performance between two commits or test runs
• get_test_run_details - Get parsed test results with status filtering
• Enhanced query capabilities for better AI-assisted debugging

Your test results now appear as commit status checks on GitHub pull requests. No more switching between tabs to see if tests passed - the status is right there in your PR.

When connecting Slack to Gaffer, you can now select which channel receives test notifications. Pick your team’s testing channel, a dedicated CI channel, or anywhere else that makes sense for your workflow.

Gaffer now tracks test stability over time and flags tests with high flip rates. See which tests are unreliable so you can fix them before they erode trust in your test suite.

The new analytics dashboard gives you a bird’s-eye view of your test suite health. Track pass rates, identify slow tests, and spot trends before they become problems.

Install the Gaffer GitHub App to connect your repositories. Test results automatically appear as commit status checks on your pull requests, giving reviewers instant visibility into test health.

Gaffer now includes an MCP server that lets AI assistants like Claude access your test data. Ask questions like “what tests failed yesterday?” or “show me flaky tests” and get answers from your actual test history.

The new public API lets you query test runs, analytics, and project data from your own tools and scripts. Build custom dashboards, automate workflows, or integrate Gaffer data into your existing systems.

Connect Gaffer to your Slack workspace to receive test notifications where your team already works. Get instant alerts when tests fail so you can respond quickly.

Gaffer now uses AI to analyze test failures and provide actionable insights. Instead of digging through stack traces, get plain-language explanations of what went wrong and suggestions for how to fix it.

Added support for CTRF (Common Test Report Format), a standardized JSON format for test results. If your framework supports CTRF output, you can now upload those reports directly to Gaffer.

Organization admins can now invite teammates by email. Invitees receive a link to join your organization and immediately get access to all your test reports.