What is Propolis?
Trying to keep up with manual testing or maintain complex test scripts can feel like a constant battle. Every new feature, every code change, introduces the risk of new bugs and regressions. What if you could offload the exhaustive search for issues to intelligent agents that work tirelessly, exploring your application just like real users? Propolis introduces a new approach to ensuring product quality, automating away the need for manual QA and laborious test maintenance.
Propolis deploys swarms of autonomous browser agents that learn to navigate and interact with your application, identifying bugs and errors simply by exploring. This means you get comprehensive test coverage without writing a single test case or setting up complex infrastructure.
Key Features
🤖 Simulate Real Users: Deploy intelligent browser agents that autonomously explore your application, mimicking how actual users navigate and interact.
✅ Zero-Setup Coverage: Achieve full QA coverage without the need for scripting or manual test case creation. Agents learn your application on their own.
🚀 Run Concurrent Swarms: Launch hundreds of user-like sessions simultaneously, testing a vast array of scenarios and edge cases far beyond what manual testing can achieve.
🚨 Receive Actionable Insights: Get immediate, detailed reports on detected errors, including traces delivered directly to your engineering team's preferred tools like Github, Slack, and Linear. (See examples like "Error Found - Google Login" or "Typos Found in Notifs").
⏰ Customize Run Schedules: Integrate testing seamlessly into your workflow by scheduling swarms to run automatically on every code merge, at specific times (like end-of-day), or at custom intervals.
Use Cases
Pre-Deployment Confidence: Before pushing new code live, run a Propolis swarm to quickly uncover regressions or unexpected bugs introduced by recent changes, ensuring a smoother release.
Continuous Integration Feedback: Integrate Propolis into your CI/CD pipeline to automatically trigger swarm runs on every merge, providing immediate feedback on the quality impact of each code commit without slowing down development.
Exploring Complex Workflows: Let autonomous agents navigate intricate user journeys or hard-to-reach edge cases that are difficult and time-consuming to cover with traditional scripted tests, revealing hidden issues.
Conclusion
Propolis offers a scalable, data-driven solution to automate your QA process. By deploying autonomous agents that simulate user behavior, you can significantly reduce the time and resources spent on manual testing and test maintenance. This not only frees up your team to focus on building new features but also leads to a more robust and error-free product, ultimately delivering a better experience for your users.





