include-what-you-use VS cpplint

Linters keep the code base consistent and help to catch a lot of issues and even bugs way before the compiler is ran. Clang-Tidy is the one I am relying on. IWYU is really helpful in keeping the includes clean, reducing number of dependencies and reducing the build times.

Interesting...how does it compare to https://github.com/include-what-you-use/include-what-you-use ?

Build Insights in Visual Studio, include-what-you-use).

Looks like https://include-what-you-use.org/ might do that.

If you are worried about includes, use https://github.com/include-what-you-use/include-what-you-use and stop thinking about it.

Getting rid of that is not straightforard, though some tools can help with that

You can use the tool https://github.com/include-what-you-use/include-what-you-use to do this for for. It tracks included files and can give comment for what is used from each file. It also warns you when you include files that you don’t use

Invisible imports (e.g. traits). In Python, everything is fully namespaced (unless you from import * in which case all bets are off). It's always explicit where a name is coming from. C is the opposite: #include lets you refer to anything defined in the headers with no namespacing. That's why a common strategy (include what you use) has an associated code style: after every non-std #include you have a comment saying which of its definitions you are using. Of course, Rust is much less implicit, but I still sometimes struggle with traits. For example, you can use tokio::net::TcpStream, but you need to also use tokio::io::AsyncReadExt for the .read trait to be defined on TcpStream. This makes it hard (for me) to answer questions like "what traits are currently available in this scope?" and "why is this module being imported?"

Aside from being closed source and not available on all architectures, how does it compare to iwyu(https://include-what-you-use.org/) or clang's relatively recent include-fixer which is also accessible via clangd?

I was configuring them as I was reading. I have done this before, but we had some months of use since then, and I have seen it working in real-time. I got a lot out of this second read and configuration round. I discovered that I over-configured Cppcheck; there is much more to get out of Cpplint, and I reviewed the JSON Schema versions.

and five C/C++ static code analyzers: * clang-tidy * oclint * cppcheck * cpplint (recently added!) * include-what-you-use (recently added!)