toto007

You can enable WebGPU support in Google Chrome by turning on hardware acceleration and activating the WebGPU flag. It Works.

I’m not sure whether this project is truly practical in its current form. More and more people are using AI agents through CLI tools or desktop applications, so I think you should consider extending it to run locally.

It's cool!! If you are as lazy as me, you can add a breakpoint on file 134-4c2dd2397d6f8366.js on function OnEnter and execute this code for find the solution in browser console :P

equalArray = function arraysEqual(a, b) {

  if (a === b) return true;
  if (a == null || b == null) return false;
  if (a.length !== b.length) return false;

  for (var i = 0; i < a.length; ++i) {
    if (a[i] !== b[i]) return false;
  }
  return true;

}

M.solution.colors.forEach(wordToGuess=>{

    let flag =false;
    c.forEach(item=>{
        let result=b(item.toUpperCase(),M.solution.word);
        if(!flag && equalArray(result,wordToGuess)){
            console.log(item)
            flag=true;
        }
    });  

});

For now, I have discovered Doxygen. It generates dependency graphs for all classes and I can browse them. It is compatible with c # and mac os. Unfortunately it doesn't generate a complete graph which include my all classes but it seems like the best fit for mac os.

Why do you spend 2 year of your live to build a new email client? Aren't there enought software for this scope?

Why do you spent 2 year of your live to build a new email client? Aren't there quite software per this scope?