Don’t Worry, for I have some tips to help you avoid them (or at least report ’em properly).

To start: what are these dastardly deceptions? Well, CodeQL is an open-source tool used by developers to analyze their code and find potential security vulnerabilities or bugs. However, sometimes it can be a bit too eager in its search for problems leading to false positives (i.e., when the tool flags something as an issue that isn’t actually a problem).

Now, there are a few ways you can avoid these ***** little buggers:

1) Use CodeQL with caution: Before running any analysis on your codebase, make sure to read through the documentation and understand how it works. This will help you identify potential false positives before they even occur. 2) Check for context: Sometimes a false positive can be caused by a lack of context meaning that the tool is flagging something as an issue when there’s actually no problem at all. To avoid this, make sure to provide enough information in your code comments or documentation so that CodeQL has enough context to understand what’s going on. 3) Use filters: If you know that a certain line of code isn’t causing any issues (but is still being flagged by CodeQL), you can use filters to exclude it from the analysis altogether. This will help reduce false positives and make your results more accurate. 4) Report false positives properly: When reporting a false positive, be sure to provide as much information as possible including the line of code that’s being flagged, any relevant context, and why you believe it’s not an issue. This will help CodeQL improve its accuracy over time (and make your life easier in the process). 5) Use a linter: If you’re using a programming language like JavaScript or Python, consider using a linter to catch potential issues before they even occur. Linters can be configured to check for common coding mistakes and provide suggestions on how to fix them which can help reduce false positives (and make your code more readable in the process). 6) Use CodeQL with other tools: Finally, consider using CodeQL alongside other security or testing tools to get a more comprehensive view of your codebase. This will help you identify potential issues that might be missed by other tools and provide you with a better understanding of how your code is performing overall. Some tips for avoiding false positives in CodeQL (and making your life easier in the process). Remember, always read through the documentation before using any new tool or technology and don’t be afraid to ask for help if you need it.