Pie integrates with your dev tools. Every commit triggers tests. Bugs auto-file to Jira. Results hit Slack. You ship on autopilot.
GitHub Actions, BitBucket, or any other CI. Setup once. Run tests on every commit. No scripts. No webhooks. No maintenance.
New PR triggers Pie automatically. Status checks post back green or red. No custom scripts. No webhook configuration.
Same automation for Atlassian teams. Pie reads your PR title, generates matching tests, and reports back inline.
Jenkins. CircleCI. AWS CodePipeline. GitLab. Whatever runs your deploys can trigger Pie. One endpoint, any tool.
Test fails at 2am? Jira ticket created by 2:01am. Run finishes? Slack notifies your channel. Your team never has to ask "what broke?"
Failed test? Jira ticket created. Severity, repro steps, visual replay link. All filled in. Just assign and move on.
Connect Jira →Run complete? Channel knows. Failure detected? Alert fires. Weekly quality digest? Already in #qa-updates. No dashboard required.
Set up Slack →MCP brings Pie into your AI code editor. Generate tests. Trigger runs. Review results. All without leaving your IDE.
Build a feature, ask for coverage. Pie reads your code context and generates test cases on command. Results show up in your editor.
Pie ingests your PR titles and descriptions. New code lands, matching tests appear. Coverage evolves with your product.
Import your regression suite in minutes. Pie deduplicates, converts, and executes with vision-based AI. Same tests. Zero maintenance.
Bulk upload your regression suite. Pie deduplicates, converts, and executes. Same logic, now with self-healing automation.
Import tests →BDD scenarios become Pie test cases. Feature files in, visual AI execution out.
Setup takes minutes. Maintenance takes nothing.
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