8 Testing, and debugging techniques for AI applications

 

This chapter covers

  • Effective debugging methods for identifying issues in Next.js applications.
  • Troubleshooting Vercel AI SDK
  • Debugging techniques in Langchain.js
  • Mocking frameworks that allow for controlled testing environments.
  • Best practices for integrating testing and testing strategies for AI web applications.

Writing reliable software is a tricky business. There are a lot of factors and intricacies to consider, and it is especially easy to make mistakes if you are not familiar with the technologies you are using.

Take for example each one of the technologies we mentioned so far in this book, and you will see that each one of them is a potential candidate for errors:

8.1 Debugging Next.js AI Applications

8.1.1 Debugging Common Next.js rendering Issues

8.1.2 Debugging client-side to server-side problems

8.1.3 Handling state management

8.1.4 Performance monitoring

8.2 Vercel AI SDK Troubleshooting

8.2.1 Handling error states in AI-generated Content

8.2.2 Managing token limits and rate limiting

8.3 Troubleshooting LangChain.js

8.3.1 Chain execution errors

8.3.2 Troubleshooting Model integration issues

8.4 Testing Strategies for AI Applications

8.4.1 Unit and integration testing in React + Next.js

8.4.2 Mocking LLM Responses

8.4.3 Testing Vercel AI SDK responses

8.4.4 Testing Langchain.js

8.5 Summary