Cppcheck VS MessagePack

I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end.

Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code.

Also check out (cppcheck)[https://github.com/danmar/cppcheck] if you want more static analysis

My browser refuses to open that link. This is better: https://github.com/danmar/cppcheck

cppcheck - Extensible C/C++ static analyzer focused on finding bugs.

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

Start by feeding your codebase to a static analysis tool like cppcheck, to rule out obvious bound-checking mistakes in it.

Cppcheck is free. I've previously used it with a C++ project.

so appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls?

If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing.

The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto.

MessagePack Similar to JSONs, just more compact, although not as much as the ones above. Still, it's usefull to retain some readability in your messages.

I'll try that msgpack.org website.

First of all, you're comparing this to GSON and Kryo, how does it compare to Msgpack, fast-serialization, but also Elsa and I'm sure, many others? Are there any limitations and/or trade-offs?

Upvote for msgpack, one of the great undervalued message protocols available.

I have two suggestions Capnproto, MessagePack (those are only the two examples that came to mind first, i bet there are even one or two especially developed for rust). Both of these are better than json in nearly every way.

Encode messages as JSON or MessagePack.