v2.0.2

v2.0.2

AI Insights, now inside your AI assistant

You can pull TestDino's AI analysis of your test results straight into Cursor, Claude, and any MCP client. No switching to the dashboard to understand a failure.

New tool: get_ai_insights

One tool, three levels of depth depending on what you ask for:

• Project overview. Your failures grouped by category (flaky, product bug, UI change) over a date range, with the test cases driving each category. Great for "what should we fix first?"
• Run analysis. AI failure categorization, failure clusters, newly failing tests, the error breakdown, and a written summary of the run.
• Test case fixes. Concrete recommendations and quick fixes (often with code snippets) for a specific failing test.

You can scope the project overview to a time window (for example the last 7 or 30 days, or a custom range) so older runs are easy to pull up.

AI analysis inline with the tools you already use

• get_run_details now accepts include_ai_insights to attach a run's AI analysis in the same call.
• debug_testcase now accepts include_ai_insights to attach recommendations and quick fixes for the failing test.

So a single request can return the run details and the AI take on them together.

AI Insights must be enabled

These tools need AI features turned on for your project. Enable them in Settings under AI. If they are off, the tools tell you so and point you there instead of returning empty results.

A note on timing

AI summaries are generated on demand, so the first request for a run or test case can take a little longer than usual while the analysis is prepared. Ask again shortly and it will be ready.