Clippy VS tarpaulin

I couldn't find it in the API guidelines either. From what I understand, the idea is that any trait bounds, which includes generic type parameter bounds and lifetime bound on a type (struct or enum) would be repeated back in the impl block

there is a nice discussion on this issue here: https://github.com/rust-lang/rust-clippy/issues/1689

You should not blindly follow clippy lints. They are sometimes wrong. Another example https://github.com/rust-lang/rust-clippy/issues/9782 .

I often write () = f() to assert that f() is unit. Unfortunately clippy warns on such code ( https://github.com/rust-lang/rust-clippy/issues/9048 ). There are very recent pull requests for this bug, so hopefully this bug will be fixed very soon. But meanwhile I invented this workaround: [()] = [f()] :)

Apart from running clippy on many projects being essential, clippy is also an exceptionally welcoming project, no matter your prior knowledge.

clippy is a great place to get started :) though it isn't exactly new.

clippy is also pretty compiler-adjacent and unlike rust-analyzer uses rustc's internal APIs. Don't let the size of the code base scare you off! It's actually feasible for a newcomer to contribute even such a substantial change as a new lint, and we have issues labeled as "good first issue" that come with mentorship, so you don't need to go it alone.

Yes, you could use it to write a lint. Although you might find it easier to just fork Clippy and add your own lints to their existing framework.

Check out the readme for more information.

They are two of my favorite Rust tools. If you haven’t tried them yet, I highly recommend giving them a try. Clippy can detect various lints in your code and guide you towards writing more idiomatic code. To install Clippy, simply run rustup component add clippy, and to run it within your workspace, execute cargo clippy. For more details, visit Clippy’s GitHub repository.

I’ll add tarpaulin, a crate I use for code coverage analysis.

Any pros/cons compared to tarpaulin?

What about tarpaulin : https://github.com/xd009642/tarpaulin

Note that the tool cargo-tarpaulin provides code coverage.

There is https://github.com/xd009642/tarpaulin for code coverage, but I'm not sure how widely it's used.

I know giving a link is not a tutorial, but I use https://github.com/xd009642/tarpaulin for this.

Writing software test for [Toql](https://crates.io/crates/toql) and shaking out smaller bugs here and there. [Tarpaulin](https://github.com/xd009642/tarpaulin) is such a fantastic tool!

Code quality also has become quite better than the last year. Almost codes in the project are tested by either unit or integration tests. Code coverage using tarpaulin is above 90%.