Visual Studio Code Mastery · Step 13 of 15
Advanced Debugging & Profiling
Stop littering your code with print statements — learn conditional breakpoints, logpoints, and profiling to find bugs faster.
What you’ll walk away with
- Set conditional breakpoints that only trigger under specific variable states or program conditions
- Use logpoints to trace execution without stopping your program or cluttering code with debug prints
- Debug multiple processes or targets at once with compound debugging configurations
- Profile CPU and memory usage to pinpoint performance bottlenecks and logic errors
- Apply these techniques together to diagnose a real performance or logic issue from start to finish
Questions people ask before they start
Do I need prior debugging experience to take this course?
You should already be comfortable setting basic breakpoints and reading stack traces. This course builds on that foundation to cover conditional breakpoints, logpoints, compound debugging, and profiling — it's not an intro to debugging.
What debugging skills will I actually practice, not just watch?
The course ends with a hands-on lesson where you diagnose a real performance or logic issue, applying conditional breakpoints, logpoints, multi-process debugging, and CPU/memory profiling together rather than in isolation.
What's a logpoint, and how is it different from a regular breakpoint?
A logpoint lets you log values and messages at a specific line without pausing execution — the course's first lesson covers how to set these alongside conditional breakpoints so you can trace behavior without stopping your program.
Does this cover debugging more than one process at a time?
Yes. The 'Multi-Target and Compound Debugging' lesson specifically covers compound debugging configurations for tracking multiple processes or targets simultaneously.
Will this teach me to diagnose slow or memory-heavy code, or just logic bugs?
Both. The 'CPU and Memory Profiling' lesson focuses on identifying performance bottlenecks, and the final hands-on lesson has you diagnose either a performance issue or a logic issue using the techniques from the module.
How does this course fit with Securafy's focus on safe AI-assisted development?
As part of AI University, this course teaches debugging techniques you can rely on to verify and troubleshoot AI-generated code yourself, rather than trusting it blindly — a core part of building software safely.