American Fuzzy Lop VS faker

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.

b-, https://lcamtuf.coredump.cx/afl/

Instead of manually having to think of defaults for your interface properties, you could use Faker.

If you think you have something which other Faker users would find useful, you can contribute it to Faker! See the contributing guide, you can create an issue or a pull request.

First, we create a react project, and then we use a service faker to create 25000 user records.

Use faker.js to generate random values for your mock data.

I built a starter project for developing a social media app with Sveltekit, Lucia Auth, Prisma and Faker.js. Uses sqlite for prototyping but can easily be changed to Postgres or MySQL.

Don’t even need chatGPT or json files! There are libraries like faker that’ll do it on the fly for you!

I am currently working with Typescript as well as C++ and I enjoyed using FakerJS library for testing data. I've checked for C++ libraries and I haven't found anything that could be used for my basic needs (like generating emails, passwords, names, uuids or lorem words) so I just started my own project with idea to deliver such library to C++ developers.