Smoke testing is the first line of defense after a deployment. Did the build break anything critical? Can users still log in? Does the checkout flow work? Is the API responding?
Traditionally, smoke tests are a small, curated subset of your full test suite — the tests you absolutely must pass before you consider a build stable. Teams maintain them manually, run them after every deploy, and investigate failures immediately.
The problem: in AI-speed development, "after every deploy" means dozens of times per day. And the smoke test suite, like every other manually maintained test suite, drifts out of sync with the application.
An AI-powered smoke testing approach eliminates both problems. The tests are regenerated for each run, so they're always current. And a full-stack smoke check runs in under five minutes, fast enough to execute on every single deployment without slowing down your release cadence.
What Traditional Smoke Tests Miss
Most smoke test suites were written months or years ago. They check the flows that were critical at the time they were written. They don't check features that shipped last week. They don't check API endpoints that were added in the last sprint. They don't check the new authentication method that replaced the old one.
Smoke tests also tend to be shallow by design — they verify that something loads, not that it works correctly. "The login page renders" passes the smoke test. "The login page accepts valid credentials and rejects invalid ones" is considered too detailed for a smoke check.
An AI testing agent doesn't distinguish between smoke tests and full tests. It generates comprehensive coverage that includes both breadth (every critical flow) and depth (every flow tested end-to-end). The five-minute execution time means you get full-depth testing at smoke-test speed.
AI Smoke Testing Workflow
With TestSprite, a smoke testing workflow looks like this:
Deploy to staging or production. TestSprite runs a full test suite against the deployment URL. In under five minutes, you know whether every critical flow works: authentication, core features, API endpoints, error handling, and security boundaries.
No manual trigger. No curated test list. No stale tests. Just automatic, comprehensive verification of your live deployment.
For teams using Vercel, Netlify, Railway, or similar deployment platforms, TestSprite integrates directly with your deployment pipeline through GitHub Actions or the GitHub App. Every deployment triggers a verification run.
The result: every deployment is smoke-tested with full coverage, automatically, in under five minutes. The first time a deployment breaks something critical, you know in minutes instead of hours.