Testing & QA

Debug a reproducible symptom in a tight loop and verify on the original case

Require verification evidence before claiming work is complete, fixed or passing

Run end-to-end verification on a nontrivial change before it is committed

Turn task acceptance criteria into executable checks before delivering results

Run parallel agents to find the root cause of a bug or regression

Find root causes of crashes, hangs and silent failures with a hypothesis loop

Check UI screens against an Apple HIG checklist with light and dark captures

Debug DOCA build, link and runtime errors with a layered troubleshooting ladder

Capture and decode DPA-side programming event traces with doca_dpa_hl_tracer

Debug failing or wrong-output Holoscan apps and modules when commands break

Run QA test plans on Holoscan Sensor Bridge hardware and report results

Replay recorded workflow episodes through their scene to verify trajectories

Run policy or rule-based rollouts and verify simulator success rates

Diagnose and fix wrong gradients in differentiable NVIDIA Warp programs and tapes

Capture full DevTools traces of browser runs to debug failed sessions

Test UI changes from git diffs for bugs, accessibility and layout issues

Write Go tests with testify assertions, mocks and suites

Write table-driven Go tests with fuzzing, goleak checks and coverage reports

Find the root cause of Go crashes, deadlocks and races with pprof and Delve

Check whether the tests an agent reported as passing actually ran

Plan testing strategy with TDD, end-to-end tests and multi-framework support

Find an unknown root cause from evidence, then verify the fix works

Trace a bug or recurring failure to its root cause by asking why repeatedly

Build behavior changes and bug fixes test-first with a red-green-refactor loop

Diagnose bugs and failing tests with a structured process instead of random edits

Find the root cause of a failed command or API call before retrying it

Diagnose the root cause of a failed tool call before retrying or changing approach

Write or update tests and verify results before calling a change done

Run code, scripts and pages you produced and fix what breaks before reporting

Write React Native component tests with Testing Library queries and matchers

Plan and run AWS FIS chaos experiments to test application resilience

Find why Lambda functions time out using logs, VPC settings and cold starts

Run UI and API release tests on AWS DevOps Agent with a saved test profile

Find error patterns in CloudWatch logs to root-cause failing applications

Find the root cause of a runtime bug with targeted instrumentation before any fix

Turn on category-based debug logs for TanStack AI chat, tools and media calls

Automate browser tests with Playwright, covering screenshots, login flows and links

Verify a Classic change and record the outcome of each check

Debug bugs and test failures systematically before proposing any fix

Debug in four steps: reproduce, trace the fail path, falsify and cross-check

Debug Vue 3 runtime errors, warnings, async failures and SSR hydration issues

Test Vue components with Vitest, Vue Test Utils, mocks and Playwright end-to-end tests

Diagnose and fix a reproducible crash or failing check in an existing project

Exercise a running product against acceptance criteria and report what you saw

Run Playwright tests at scale on Azure Playwright Workspaces from CI

Build a QA checklist that verifies a build matches the approved design

Change untested legacy code safely with characterization tests and seams

Write and organize Dart unit tests with the test package

Collect Dart test coverage and generate an LCOV report