- GitHub posts AI-generated summaries to commits and pull requests, and automatically records test runs.
- GitLab posts AI-generated summaries to merge requests and commits, and syncs MR state with TestDino.
- GitHub CI Checks evaluate runs against quality gates and publish pass/fail status.
- Azure DevOps displays test runs, failure trends, and flaky tests directly inside Azure DevOps.
- TeamCity triggers test uploads and links results back to builds.
- Slack sends branch-mapped run summaries to configured channels.
- Jira, Linear, Asana, and monday create issues from failed or flaky tests with prefilled context.
Integrations are project-scoped and configurable by environment or branch. This enables precise routing, controlled access per project, and consistent links across tools.
How It Helps
| Benefit | Description |
|---|---|
| Single source of truth | Each ticket links to the exact run and commit |
| Prefilled issues | Test details, failure context, history, and links included |
| File to the right place | Select the Jira project or Linear team once |
| Automated comments | GitHub app connects test runs to commits and PRs with AI summaries |
| Merge safety | CI Checks enforce test rules and block merges when key tests fail |
| Team updates | Slack posts run summaries to channels mapped to each environment |
| Project-scoped access | Connect or disconnect each project independently |
What Integrations Provide
- GitHub Comments
- Slack Messages
- CI Checks
- Bug Reports
AI-generated summaries posted to commits and pull requests include:
- Summary table with passed, failed, flaky, and skipped counts, pass rate, and duration
- A detailed Test failure analysis grouped by file with specific error messages
