Testing Commands
Explore 6 curated testing commands for building with AI coding agents — what each one does, when to use it, and how to add it to your workflow.
Check Support Cases
Validate a local JSONL support-answer testset with Python: unique case IDs, exact fields, answer/clarify/escalate expectations, required answer-card references and sources, and explicit escalation reasons; report counts without running a support bot.
Fix Failing Test
Diagnose and fix a failing test by finding the real root cause.
Hunt Flaky Tests
Reproduce a flaky test, find the real source of nondeterminism, and fix the cause.
Generate E2E Test
Scaffold a resilient end-to-end test for a user flow grounded in the real UI.
Run Evals
Run the project's LLM evaluation suite (DeepEval, promptfoo, or RAGAS) and report scores against thresholds before a merge.
Write Tests
Generate tests covering the happy path and edge cases for the given target.