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.
Most integrations take under 5 minutes. GitHub connects via a ready-made GitHub Action. Slack and Jira connect through simple configuration. For other CI/CD tools, you add one API call to your existing workflow.
Minimal changes. For GitHub Actions, Pie provides a ready-made action called the Pie Build Uploader. For other CI tools, you add a single API call that triggers test runs. Your existing pipeline structure stays intact.
Yes. Once connected via GitHub Actions, Pie automatically triggers tests on every PR. You can configure triggers for releases, tags, schedules, manual dispatch, or pull request merges.
From any Issue Report in Pie, you can push directly to Jira. Pie populates the ticket with issue description, severity, steps to reproduce, and a link to the visual replay. Fully automated two-way sync is coming soon.
Build confirmations, test completion notifications, and weekly quality summaries. Connect Pie to a designated Slack channel and your team gets automated alerts without checking dashboards.
MCP (Model Context Protocol) connects AI tools directly to Pie. It works with Claude Desktop, Cursor, VS Code, and Claude Code CLI. Analyze test results, import test cases, find duplicates, and generate reports through natural conversation.
Yes. Upload a CSV with your test steps and Pie converts them to its format. The MCP integration also supports importing test cases and finding duplicates through conversational commands.
Yes. Any CI/CD tool that can make HTTP requests can trigger Pie via our REST API. The API enables programmatic test initiation and result retrieval for any pipeline.