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Smoke Tests

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Efficiently run and debug VS Code smoke tests.

by microsoft188.6k stars on microsoft/vscode
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Updated Aug 10, 2026
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What Smoke Tests does

The Smoke Tests skill is designed for developers working with Visual Studio Code who need to run and manage smoke tests effectively. Smoke tests are crucial for validating the core functionalities of the application by simulating end-to-end user interactions. This skill provides a streamlined approach to executing these tests, whether you are running them locally or in a continuous integration (CI) environment.

Using this skill, you can execute smoke tests through simple npm scripts. The npm run smoketest command compiles and runs the tests, while npm run smoketest-no-compile allows you to run already compiled tests, which is particularly useful in CI workflows. You can also filter tests using the -g option to target specific test suites, making it easier to focus on areas of interest or concern.

An important feature of this skill is the ability to troubleshoot flaky tests in CI. By temporarily looping a specific test suite multiple times, developers can reproduce intermittent failures more reliably. This technique captures valuable debugging information such as Playwright traces and screenshots, aiding in the identification and resolution of issues without the need for extensive manual testing.

This skill is ideal for developers and QA engineers who are involved in testing and maintaining the integrity of the VS Code application. It simplifies the process of running smoke tests and provides tools to address common testing challenges, ensuring that the application remains stable and functional after updates or changes.

When to use it

Use this skill when you need to perform smoke testing on VS Code, especially in CI workflows or when debugging flaky tests.

When not to use it

This skill is not suitable for unit or integration testing, as it specifically focuses on end-to-end smoke tests for the VS Code application.

What you can build with it

Running Smoke Tests Locally

Use the `npm run smoketest` command to compile and execute smoke tests on your local VS Code instance.

Debugging Flaky Tests in CI

Implement the temporary loop technique to reproduce and debug flaky tests in your CI environment, capturing essential logs and screenshots.

Filtering Specific Test Suites

Utilize the `-g` option to run only the tests that match a specific pattern, focusing your testing efforts on areas that require attention.

How to install Smoke Tests

View source

1. Install with the skills CLI

npx skills add microsoft/vscode/smoke-tests --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by microsoft

Running Smoke Tests

Smoke tests live in test/smoke/ and drive a full VS Code instance (Electron, web, or remote) through end-to-end user flows.

Scripts

  • npm run smoketest — compiles the smoke tests first (test/smoke), then runs them.
  • npm run smoketest-no-compile — runs the already-compiled smoke tests. CI uses this after an explicit compile step.

Both forward extra arguments after -- to the runner (test/smoke/test/index.js).

Common options

OptionDescription
-g <pattern> (alias -f)Grep filter on test/suite titles (mocha grep).
--build <path>Run against a packaged build instead of the compiled-from-source dev build.
--tracingCapture Playwright traces (and screenshots on failure).
--webRun the browser smoke tests instead of Electron.
--headlessHeadless browser (used with --web).
--remoteRun the remote smoke tests.
# Run everything (Electron, from source)
npm run smoketest

# Run only a subset of suites by name, with tracing (replace <suite name> with your suite, e.g. "Agents Window")
npm run smoketest -- -g "<suite name>" --tracing

# Run against a packaged build (CI style)
npm run smoketest-no-compile -- --tracing --build "/path/to/VSCode-darwin-arm64/Code - OSS.app"

The -g pattern matches against test/suite titles. For example, -g "Agents Window" matches all three Agents Window suites (Agents Window, Agents Window (local AgentHost), and Agents Window (local AgentHost, SDK sandbox)); use whatever substring identifies the suite(s) you care about.

The runner exits non-zero if any test fails, so a 0 exit code means every selected test passed.

Temporarily looping a suite to hunt flaky CI tests

When a smoke test fails intermittently only in CI, a useful technique is to temporarily run the suspect suite many times in a row and fail on the first failure. This reproduces the flake under the real CI environment and captures its traces/screenshots, instead of waiting for it to recur naturally across unrelated PRs.

This is a debugging aid, not a permanent CI fixture:

  • Add it on a throwaway branch, push, and let CI run it. Iterate until you reproduce (and then fix) the flake.
  • Remove the loop before merging — leaving it in would add ~an hour per platform to every run.
  • It is not specific to any one suite. Point the -g filter at whichever suite you are investigating (the examples below use "Agents Window", but substitute your own).

Where to add it

Drop the loop next to the existing Electron smoke step, gated on the same condition, in the test step(s) for the platform(s) where the flake reproduces:

GitHub PR workflows (run from source, no --build):

  • .github/workflows/pr-linux-test.yml (bash; sets DISPLAY: ":10")
  • .github/workflows/pr-darwin-test.yml (bash; no DISPLAY)
  • .github/workflows/pr-win32-test.yml (PowerShell)

Azure DevOps test steps (run against the packaged build via --build):

  • build/azure-pipelines/linux/steps/product-build-linux-test.yml
  • build/azure-pipelines/darwin/steps/product-build-darwin-test.yml
  • build/azure-pipelines/win32/steps/product-build-win32-test.yml

Shape

Loop N iterations (e.g. 20) and abort on the first failing run. Give it a generous timeout — N sequential runs of a ~3-minute suite can take roughly an hour.

Bash (Linux/macOS):

# TEMPORARY: loop the suite to reproduce a flaky failure. Remove before merge.
# Replace <suite name> with the suite you're investigating (e.g. "Agents Window").
- name: 🧪 Smoke test flakiness probe (TEMPORARY)
  if: ${{ inputs.electron_tests }}
  timeout-minutes: 60
  run: |
    for i in $(seq 1 20); do
      echo "::group::Smoke probe run $i/20"
      npm run smoketest-no-compile -- --tracing -g "<suite name>" || { echo "::error::Smoke test failed on run $i/20"; exit 1; }
      echo "::endgroup::"
    done

PowerShell (Windows) checks $LASTEXITCODE after each run and exit 1 on failure. The AzDO variants use set -e (bash) / $LASTEXITCODE (pwsh) for fail-fast and append --build "<packaged app path>".

Why fail-fast

The loop is a probe: the first failure is the signal. Stopping immediately preserves the failing run's traces/screenshots (under the logs artifact) and avoids burning ~an hour of agent time finishing a run that has already proven flaky.

Debugging CI smoke failures

Both CI systems publish the smoke runner's per-platform logs (the .build/logs directory) as a downloadable artifact. The artifact's internal layout is identical on both — only the artifact name and the download tool differ.

Downloading the logs artifact

GitHub Actions

The GitHub PR workflows upload the artifact as logs-<os>-<arch>-<suite>-<attempt>, where <os> is linux / macos / windows, <suite> is electron / browser / remote, and <attempt> is the run attempt (e.g. logs-macos-arm64-electron-1).

The run id is the number in the run/job URL — for …/actions/runs/<run-id>/job/<job-id> use <run-id>. Download with the gh CLI:

# A specific artifact into ./logs
gh run download <run-id> -n logs-<os>-<arch>-<suite>-<attempt> -D ./logs

# Or every artifact from the run
gh run download <run-id>

gh run view <run-id> lists the run's jobs/artifacts; the run summary page in the browser also has an Artifacts section at the bottom.

Azure DevOps

The artifact name depends on which pipeline produced it:

  • Product build (product-build-<os>.yml): logs-<os>-<arch>-<attempt> — no suite segment, e.g. logs-macos-arm64-1.
  • Suite-split CI build (product-build-<os>-ci.yml): logs-<os>-<arch>-<suite>-<attempt> — the <suite> segment is lower(VSCODE_TEST_SUITE) (e.g. electron), so e.g. logs-macos-arm64-electron-1 (same shape as GitHub).

<os> is linux / macos / windows, <arch> is x64 / arm64, and <attempt> is $(System.JobAttempt). Download with the Azure CLI:

az pipelines runs artifact download \
  --org <ORG_URL> --project <PROJECT_NAME> \
  --run-id <BUILD_ID> --artifact-name <artifact-name> \
  --path ./logs

For the VS Code build that is --org https://dev.azure.com/monacotools --project Monaco; see the azure-pipelines skill for finding the <BUILD_ID>.

Inside the artifact

Under smoke-tests-<suite>/ (smoke-tests-electron/, smoke-tests-browser/, or smoke-tests-remote/, matching the suite that ran):

  • smoke-test-runner.log — the mocha driver output plus, for suites that use the mock LLM server, its verbose request/response bodies (look for request body:). On a Copilot CLI / Copilot session failure it also carries a tail of the captured Copilot runtime logs (see below).
  • <N>_suite_<Suite_Name>/copilot-runtime-logs/process-*.log — the Copilot runtime (@github/copilot CLI) process logs, captured by dumpFailureDiagnostics when a Copilot-runtime session fails. Check these first for a hang or "Timed out waiting for response": they are the SDK/CLI's own account of what it did (startup, auth, model request, turn lifecycle, and any panic / out-of-order event / protocol error) and explain a timeout that the test error alone does not. Agent Host sessions (Agents Window / local AgentHost) write a full log run at trace (chat.agentHost.copilotSdk.logLevel). Chat Sessions editor (Copilot CLI / Claude) and Local sessions run the SDK in-process and write only a minimal startup log here (Server started, waiting for requests) — enough to tell whether the runtime came up; their detailed model/turn diagnostics are in the GitHub Copilot Chat.log below. (Claude / Codex sessions use a different runtime and are not captured here.)
  • <N>_suite_<Suite_Name>/window2/exthost/<extension>/…log — per-suite extension-host logs (e.g. GitHub.copilot-chat/GitHub Copilot Chat.log). Many diagnostics are gated behind a setting the suite enables in its before hook, so check the suite's setup if an expected log line is missing.
  • <N>_suite_<Suite_Name>/playwright-screenshot-*.png — last-frame screenshot captured when a test fails (only when the suite ran with --tracing).

<Suite_Name> is the mocha suite title with non-word characters replaced by _. See also the code-oss-logs skill.

Distinction from other test types

  • Unit tests (.test.ts) → scripts/test.sh / runTests tool (see the unit-tests skill).
  • Integration tests (.integrationTest.ts + extension tests) → scripts/test-integration.sh (see the integration-tests skill).
  • Smoke tests (test/smoke/) → npm run smoketest — full end-to-end UI flows.

Frequently asked questions about Smoke Tests

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