Use cases

Test after every deploy

Trigger test runs from deploy events so high-risk workflows are checked as soon as code reaches an environment.

Built for engineering teams that want deployment validation tied to real product journeys instead of only build status.

Run preview

Test after every deploy

AI check
Journey map
1

Webhook-triggered runs for staging, preview, or production deploys.

2

Environment-specific base URLs and account context.

3

High-signal smoke coverage for routes changed by the deploy.

Risk signals

Builds pass while user-facing workflows break.

Preview deployments are reviewed without account-aware checks.

Evidence

Deploy confidence includes product-level run evidence.

Deploy event connected to test plan execution.

Coverage map

One view for paths, risks, and evidence.

Teams use Killbug when a workflow depends on account state, permissions, integrations, billing rules, or customer-specific data that static checks cannot fully validate.

Cover

Paths to keep watched

  • Webhook-triggered runs for staging, preview, or production deploys.
  • Environment-specific base URLs and account context.
  • High-signal smoke coverage for routes changed by the deploy.

Catch

Failure modes to surface

  • Builds pass while user-facing workflows break.
  • Preview deployments are reviewed without account-aware checks.
  • Teams find deploy regressions after the release has moved on.

Return

Evidence teams can act on

  • Deploy confidence includes product-level run evidence.
  • Failures are tied to the run, environment, recording, and steps.
  • Teams can catch regressions before customers hit the new build.

Review flow

Move from product context to owner-ready evidence.

Killbug turns important journeys into repeatable test runs. Each run keeps the account context, visible outcome, failed step, and review evidence together so teams can decide what to fix next.

Context

Use the right account, role, workspace, and environment.

Journey

Run the path your customer, operator, or team depends on.

Signal

Catch visible failures, blocked states, and broken handoffs.

Evidence

Return recordings, failed steps, summaries, and ownership context.

FAQ

Questions teams ask before adding coverage.

How does Killbug help with test after every deploy?

Killbug runs AI-assisted checks across test after every deploy workflows with the right account context, records what happened, and returns failed steps that product and engineering teams can reproduce.

What should teams cover first for test after every deploy?

Start with the paths that carry release, revenue, support, or operational risk: Webhook-triggered runs for staging, preview, or production deploys. Environment-specific base URLs and account context. High-signal smoke coverage for routes changed by the deploy.

Who should use Killbug for this use case?

Built for engineering teams that want deployment validation tied to real product journeys instead of only build status.