Want to learn how to code? Get hands-on with debugging techniques, trace bugs, troubleshoot environments, and confidently build in-demand skills to diagnose code efficiently. Fun and immersive learning awaits!

Dockerfile.tar.gz

Crash

Hang

Mem-Leak

spa2

Python

Go-queue-repro

Python-logging

Go-hang

C-program

SPA-malloc-C

memory-monitoring

Python-otel

Go-with-mod-tidy

spa2-copy

SPA-dns

This course covers debugging and the different techniques that help developers efficiently trace bugs in programming. It also includes guidelines and tips for software developers who must debug applications in production environments. 

You’ll start with introductory concepts of bugs and their life cycle. Next, you’ll cover the basic debugging techniques such as tracing code paths, reproducing the issue, logging, and knowing what to chase. In the next section, you’ll learn debugging techniques for multithreaded applications and the art of finding bugs in crashes and hangs. By the end of the course, you’ll gain knowledge about scaling issues, troubleshooting environments, monitoring, and building debuggable systems.

After completing this course, you’ll have detailed knowledge of debugging and its different techniques. It will also help you enhance your debugging skills, which are applied throughout the life cycle of software development.

Mastering Debugging: Techniques for Efficient Code Diagnosis

Test yourself on the knowledge you learned about Bug's life cycle.

Quiz: Bugs Life Cycle

Introduction to Debugging

Bugs Life Cycle

Basic Debugging

Multithreaded Debugging

Code Reading

Crashes and Hangs

Resource Leaks

Debugging Distributed Systems

Scaling Issues

Troubleshooting Environments

Principles for Proactive Product Maintainability

Conclusion

Quiz: Bugs Life Cycle