Yoda Response: Certainly, Avi. If I encountered significant performance degradation after integrating the third-party library, here’s how I would approach resolving the issue:

1. **Identify the Bottleneck**: Use profiling tools such as Android Studio Profiler to identify the specific areas where performance is degrading. This could be related to memory usage, CPU consumption, or network latency.

2. **Review Library Documentation**: Go through the third-party library’s documentation and community forums to see if there are any known performance issues or recommended optimizations. Sometimes, libraries have configuration options that can be adjusted for better performance.

3. **Isolate the Problem**: Create a minimal reproducible example in a separate project to isolate the performance issue. This helps in understanding whether the problem is with the library itself or with the way it’s integrated into the main project.

4. **Optimize Usage**: Look for ways to optimize how the library is being used. This could involve:
   - Reducing the frequency of certain operations.
   - Caching results to avoid redundant processing.
   - Using more efficient data structures or algorithms provided by the library.

5. **Refactor Code**: If the library’s integration is causing significant performance issues, consider refactoring the code to reduce its impact. This might involve breaking down tasks into smaller, more manageable parts or offloading heavy operations to background threads using Kotlin Coroutines.

6. **Consult the Community**: Reach out to the library’s community or maintainers for advice. Open-source projects often have active communities that can provide valuable insights and solutions to common problems.

7. **Fallback Plan**: If the performance issues cannot be resolved, consider alternative libraries or approaches. Sometimes, the best solution is to find a different library that offers similar functionality without the performance drawbacks.

8. **Continuous Monitoring**: After implementing the optimizations, continuously monitor the application’s performance to ensure that the issues are resolved and that no new problems have been introduced.

By systematically identifying and addressing the performance degradation, I can ensure that the application remains efficient and responsive, providing a better user experience.