Dean Thayib

AI worker at Team Green, Ex-@BrexHQ. Tweets dalam Bahasa Indonesia and in English. Opinions are personal.

[Dean Thayib @dieend]

Jensen mentioned about AI factory many times.

I didn't get what it is about until today.

🧵

[Samay @Samaytwt]

Unpopular opinion: "AI makes everyone a developer" is true the same way "cameras makes everyone a photographer"

[Dean Thayib @dieend]

@thsottiaux Can we have option to auto update daily/weekly? Love all the speed but distracted with the popup

[Dean Thayib @dieend]

Not sure how the data is sourced, but it's a good perspective to put how AI-boom into perspective.

[Cody Fenwick @codytfenwick]

As a % of global GDP, the data center buildout looks more like a standard "peak industrial expansion boom" than anything historically unprecedented.

[Dean Thayib @dieend]

@steipete I sent a PR to fix whatsapp group message I experienced. I'm not sure how you identify important PR in the many github issues but this fix is human verified 😅
https://t.co/jiN754pN3g

[Dean Thayib @dieend]

> Impostor syndrome is a growth signal, not a character flaw. When this feeling shows up, it is evidence that you are stretching yourself to the next level.
- @EthanEvansVP

I never heard this perspective before and it's really powerful!

[ThePrimeagen @ThePrimeagen]

I would like to make my apologies for defending M$, but I must from time to time.

I have to put respect on github for handling the amount of shit code that has been added over the last 3 months.

literally 10s of billions of lines of code that will never see the light of a CPU

[Dean Thayib @dieend]

@bazelbuild 💚

[Noah @NoahKingJr]

Watching the CI/CD pipeline run 1800 tests for a 1-line change that fixes a typo

[Dean Thayib @dieend]

@badlogicgames @bcherny 😭 this must be why after I uploaded 9 images to ask claw to take notes, my session cost me 80% of my limit for a single prompt the day after.

[Dean Thayib @dieend]

Jakarta is as large as South Bay.
San Francisco to San Jose train is $11, 1 hour trips.

Jakarta is the most populous city of 42 millions, while whole Bay Area regions houses < 10 millions people.

[Dean Thayib @dieend]

@bcherny Can we get this an eye, please?
https://t.co/1GhcFhV94h

Claude generated worktree can't push directly because it has incorrect upstream branch and broke other tooling :(

[Dean Thayib @dieend]

I never realized this was a big deal, until multiple people reaffirming it's a big deal.
I still don't think it's a big deal for me but I understand it can be a big deal for others.

[le.hl @0xleegenz]

People who moved abroad alone in their 20s, handled all docs, bank account, visa, tax, jobs, accomadation, and culture difference

These people fear nothing anymore

[Yonathan Dinata @yonathandinata]

Raditya Dika ini smart banget. Di mana orang berlomba-lomba bikin kos-kosan, dia langsung nanya: yield berapa?

Tujuan apa? Buat dibandingkan. Karena investasi ga cuma kos-kosan, ada SBN, obligasi, saham, crypto, batu akik, dkk…

Simple aja, kalau bunga/yield cuma 6-9%, ada banyak tuh instrumen investasi seperti RDPU, RDPT, obligasi, deposito.

Simple tapi karena kefomo, kegiring jadi ga mikir jauh 😂

[Dean Thayib @dieend]

Agentic programming consumed your team when new hire asked "how do I make LSP works" and you realized it's been broken for months.
I swear it was working!

[Ado @adocomplete]

Beyond the winners of our "Built with Opus 4.6 Claude Code Hackathon," there were so many amazing projects that deserve a shoutout.

Today I want to highlight Pasal by Ilham Putra. 280 million Indonesians can't easily search their own laws. Pasal fixes that.

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[Dean Thayib @dieend]

You got feedback on your workmanship, but have you ever got feedback on your friendship?

[Dean Thayib @dieend]

@deriantok Welcome back!

[Andrej Karpathy @karpathy]

New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP

[Dean Thayib @dieend]

@sweatystartup Friends do offer helping and be there on moving day! Because that's what a friend can do!
Mover move stuff and friends hang out 😁

[Lenny Rachitsky @lennysan]

"But it was the model that was released last week (GPT-5.3 Codex) that shook me the most. It wasn't just executing my instructions. It was making intelligent decisions. It had something that felt, for the first time, like judgment. Like taste. The inexplicable sense of knowing what the right call is that people always said AI would never have. This model has it, or something close enough that the distinction is starting not to matter."