dylint VS rust-analyzer

There is also https://github.com/trailofbits/dylint for writing custom lints.

Apart from clippy (which uses rustc-internal APIs), there are two other projects which can be used to implement lints: rust-analyzer can be extended with more diagnostics, and dylint provides an interface to run custom lints for Rust.

RE: Program is a model

There are some more advanced refactoring tools now available. These tools enable you to write code to detect bad code patterns and even automatically fix them. You can use them to write one-off transformations of code too. Rust has Dylint [1] and C# has Roslyn Analyzers [2]. Facebook has tooling [3] that helps writing CodeMods, enabling authors to generate changes for thousands of files at a time.

The thing I really would like to see is a smarter CI system. Caching of build outputs, so you don't have to rebuild the world from scratch every time. Distributed execution of tests and compilation, so you are not bottle-necked by one machine. Something that keeps track of which tests are flaky and which are broken on master, so you don't have to diagnose spurious build failures. Something that only runs the test that transitively depend on the code you change. Automatic bisecting of errors to the offending commit.

[1] https://github.com/trailofbits/dylint

[2] https://docs.microsoft.com/visualstudio/code-quality/roslyn-...

[3] one example: https://github.com/facebook/jscodeshift

If you're looking for something like clippy but with custom lints, there's also dylint -- it is clippy, but with support for running dynamically loaded lints across multiple versions of Rust.

You might find dylint useful! It's exactly that: a tool to run custom clippy lints.

Dylint. A tool for running Rust lints from dynamic libraries.

go build 3.62s user 0.76s system 171% cpu 2.545 total

I was looking forward to parallel front-end[4], but I have not seen any improvement for these small changes.

[1]: https://github.com/rust-lang/rust-analyzer

For example, intelephense can show diagnostics in real time, there is no need to save the file to get new diagnostics. But rust-analyzer, the language server for rust, can only update diagnostics after saving the file.

6. Rust Analyzer

The rust-analyzer readme suggests you go here for support request. But even there, you'll need to provide more details to get useful help.

For example: https://github.com/rust-lang/rust-analyzer/blob/master/docs/...

> If you create an LSP, it will work best in VS Code.

Any editor can work just as well as (or even better than) VS Code.

So, apparently the reason why rust-analyzer, the LSP server for Rust does not have persistent caching is because it would make "optimizing initial passes less important".

All I want to know is: Will it have a build configuration pulldown?

I am not a Rust dev. It surely looks great.

However, from what I understand it seems to supply just a parser separate from the Rust compiler (https://github.com/rust-lang/rust-analyzer/tree/master/crate...) trying to keep up with Rust‘s development. So, in principle, it could have been just another treesitter parser plugin, too.

So, again, the LSP framework does not directly provide any magical benefit over a static parsing framework. All the semantic analysis capabilities stem from a good parser.

rust-analyzer > manual > helix > binary > rustup component add rust-analyzer