American Fuzzy Lop VS build-your-own-x

There's some efforts to guide test generation for property based testing to make the instruction pointer explore as large a space as possible.

This effort is more mature in the fuzzing community. See eg American Fuzzy Lop https://github.com/google/AFL

What you're describing, just generating random input to test a program, is sometimes called "blind fuzzing" but the state-of-the-art is far beyond that. Maybe try reading through the documentation of e.g. https://github.com/google/AFL to see what a fuzzer does and why just producing random input isn't even scratching the surface.

for general riscv I used to use this https://github.com/google/AFL I dont know if it supports x64 tho.

Ex ( AFL, WinAFL, HonggFuzz, LibFuzzer, Jazzer )

I wrote this little fuzz test target in order to fuzz it with afl (under ASan and UBSan):

afl, which is trivial to apply to this program:

I made my own version of a TCL interpreter (well, a very TCL like langauge) derived from "picol" available at https://github.com/howerj/pickle. There are many different re-implementations and derivatives of this interpreter but they all seem very "crashy", this one has been significantly hardened by using a fuzzer on it which ran for months called American Fuzzy Lop https://lcamtuf.coredump.cx/afl/ . It is also more suitable for embedded use whilst still not having arbitrary restrictions like many other implementations.

On Linux afl is a very powerful bug-finding tool, and it's a great companion when doing code review. Composes well with ASan and UBSan.

Frelatage is a coverage-based Python fuzzing library which can be used to fuzz python code. The development of Frelatage was inspired by various other fuzzers, including AFL/AFL++, Atheris and PyFuzzer.The main purpose of the project is to take advantage of the best features of these fuzzers and gather them together into a new tool in order to efficiently fuzz python applications.

How to use with afl:

✅ codecrafters-io/build-your-own-x : https://github.com/codecrafters-io/build-your-own-x

8) Build Your Own X: Unleash your inner inventor and embark on a journey of self-creation with this collection of project ideas for building your own software, tools, and even operating systems. Fuel your entrepreneurial spirit and learn valuable engineering principles by bringing your innovative ideas to life. (https://github.com/codecrafters-io/build-your-own-x)

Also if we can someone merge this level of detail/guidance with the projects on https://codecrafters.io/, i would easily pay for something like that.

Build your own X is another useful resource for a curious mind.

https://github.com/codecrafters-io/build-your-own-x

This links to the product's application, but the main website clears things up: https://codecrafters.io/

- https://hackattic.com/ : Interesting programming Problems.

- https://sadservers.com/ : Learn Linux by solving problems.

- https://fly.io/dist-sys/ : Distributed Systems Problems.

- https://github.com/pingcap/talent-plan/ : System Programming / Distributed System Challenge.

- https://protohackers.com/ : Server Programming Challenges.

- https://codecrafters.io/ : Implement server tech / softwares from scratch.

- https://hyperskill.org/ : Lots of projects based tutorials.