Arthur Zhison Wong

Believe and you will see

[Arthur Zhison Wong @cheesoo]

last push for submission at Bangsar mamak 😄🌟🌟

[Arthur Zhison Wong @cheesoo]

Served up good vibes at Pengu Pickleball Social with @pudgypenguins and @PenguAsia.

Friendly matches, cute custom pickleball merch, and amazing community energy.

Sponsored by @ccacc_hub. ⚡

[Simular @SimularAI]

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers.

Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents.

It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate.

It gives your AI agents eyes and hands to control the computer like humans do.

Try these things with Simulang:

- upload your pile of invoices to the expense platform
- find 50 people with specific criteria on LinkedIn
- open your calculator app and do some math
- find all buttons on your favorite app using accessibility tree
- or draw a bunny with MS paint 🐰

In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page.

Give it a try: https://t.co/Cf5CIFmQHt

[Arthur Zhison Wong @cheesoo]

@AlfieJCarter BIBLE

[Arthur Zhison Wong @cheesoo]

I’ve asked this question a dozen times and this nails the point! No absolutes but transitory. Thanks @naval 🌟

[Naval @naval]

Is Traditional Software Engineering Dead?

“Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using.

But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes.

It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur.

So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background.

The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution.

For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it.

At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own…

And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort.

But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.”

That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win.

However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.”

And I think that still applies in this age of AI.”

[Arthur Zhison Wong @cheesoo]

@Ayzacoder AI

[Arthur Zhison Wong @cheesoo]

@AndrewBolis Money

[Arthur Zhison Wong @cheesoo]

@VikramVerm25510 Ai Mass

[Arthur Zhison Wong @cheesoo]

@TommiPedruzzi Start

[Arthur Zhison Wong @cheesoo]

@Adina_Coder All

[Arthur Zhison Wong @cheesoo]

@james_bonds0 FREE

[Arthur Zhison Wong @cheesoo]

@Code_Siam AI

[Arthur Zhison Wong @cheesoo]

@AndrewBolis Hustle

[Arthur Zhison Wong @cheesoo]

@AndrewBolis AI

[Arthur Zhison Wong @cheesoo]

Awesome ! Love to have Crypto Week back in Malaysia! Now happening in KL ! Thank you CoinDCX !@CoinDCX @pushpendrakum

[Arthur Zhison Wong @cheesoo]

@AndrewBolis Guide

[Arthur Zhison Wong @cheesoo]

@RnaudBertrand Are you serious? Sure this is not another A.i. generated avatar? If it’s real person, that’s sign of some serious trouble !

[Andrew Bolis @AndrewBolis]

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[Arthur Zhison Wong @cheesoo]

@AndrewBolis Guide

[Arthur Zhison Wong @cheesoo]

@AndrewBolis Guide