BugBug is a leading no-code automation platform for web application testing and quality assurance.
Supercharge your testing processes with AI Agents that can automate complex test scenarios, analyze results in real-time, and ensure consistent quality across your applications.
BugBug brings powerful no-code testing automation to web applications. Relevance AI enhances this with intelligent AI Agents that can analyze test results, predict issues, and optimize testing strategies at scale.
Intelligent Workflow Orchestration
The agent can automate complex testing workflows, ensuring seamless execution.
Real-Time Data Insights
Leverages AI to provide actionable insights during testing, enhancing decision-making.
Predictive Issue Detection
Anticipates potential failures and user drop-off points before they impact performance.
Relevance AI gives you access to BugBug's automated testing capabilities within your AI-powered workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A BugBug account
- A Relevance AI account with access to your project settings
- Authorization (connect securely via OAuth—no manual credential entry needed)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your BugBug data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the BugBug + Relevance AI integration without writing code:
- Configure API permissions: Ensure proper OAuth authentication and read-write access are set up.
- Use correct endpoints: Follow BugBug's API path structure for reliable request routing.
- Handle responses properly: Monitor response status codes and body content for successful operations.
- Manage request headers: Set appropriate content types while respecting authorization header requirements.
- Implement error handling: Test API responses and implement proper error handling for failed requests.
