Haider Alwasiti

Machine Learning & Deep Learning. Won the best Fundamental Research
project outcome out of all FRGS grant recipients among Malaysian universities

[Claude @claudeai]

New in Claude Design: it stays on brand with your design system across projects, lets you edit directly on the canvas, syncs with Claude Code, and connects to more of the tools you already use.

[ClaudeDevs @ClaudeDevs]

Claude Code and Claude Design now sync both ways.

Run /design-sync to pull your design system into your repo and build against your real components, or push what you've built back into Claude Design and keep editing on the canvas.

[Paul Graham @paulg]

The one thing I told them to remember above all in the interview was: tell them what you've learned about users.

[Haider Alwasiti @hwasiti]

@dhh @CarlBagdaddy How do you use obsidian in your phone? If you have a solid solution for mobile sync I will switch from evernote immediately.

[Haider Alwasiti @hwasiti]

@Sentdex Some animals can start walking within 1 hours after delivery. So genetics plays an important role too.

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

[Haider Alwasiti @hwasiti]

@mrdonnieburger @NotebookLM Use calibre to convert epub to pdf. You can use pdf with notebookLm.

[Haider Alwasiti @hwasiti]

@MKBHD S pen support?

[Marc Lou @marclou]

I run the largest database of verified startup revenues.

What surprised me:

🎯 81% made $1+
🎯 44% made $1,000+
🎯 4% made $1,000,000+
📈 Average 30-day growth: +247%
⏱️ Average time to first $1: 5 months
💰 Median total revenue per startup: $1,618
💵 Median monthly revenue per startup: $334/mo

[Josh @Maybejoshb]

@sama Looks?

[Haider Alwasiti @hwasiti]

@StasBekman I think Nvidia had no competition & was trying to optimize profit over anything else. Smaller memory means more units sold. Until AMD/Qualcomm/Apple became serious. 10x jump in memory is not normal. It means capabilities of 2-5x was there few years ago but nvidia didn't want to

[Haider Alwasiti @hwasiti]

@StasBekman Super excited! I hope those 10x jump in memory size would not be only for the industrial gpus. Consumer gpus were stuck too with small memory for many years.

[Haider Alwasiti @hwasiti]

@StasBekman I mean, the need for gpus with large memory was always there in the last 5 years. Nobody likes sharding if there are options to fit huge models on a single gpu. Why Nvidia and others didn't want to manufacture gpus with more than 80GB for such a long time? I bet they were able to

[Google AI Studio @GoogleAIStudio]

https://t.co/BJiMmVg1Yj

[Haider Alwasiti @hwasiti]

@MarioHachemer @simonw This is running on your phone. The model just can't check that for you. From the training data it has, this is the usual correct reply for most users. Look at the token rate 2 per sec which means it is quite slow for a cloud base model.

[Nick Huber @sweatystartup]

@shadowcanman 1750 calories at 220 lbs?!

I’m 20 lbs lighter than you and burn 2,333 calories at rest with zero exercise in a 24 hour period.

High protein can wreck your metabolic rate over time. It increases aging and other risks. See attached.

Im 60-70% of calories from carbs.

[Nick Huber @sweatystartup]

Normal people eating 150-200 grams of protein daily will go down as as big of a disaster as the lead pipes that took down the Roman Empire.

[Nick Huber @sweatystartup]

For folks asking:

Methionine is the amino acid I’m worried about. Data isn’t conclusive yet, but this is scary.

Lots of smart longevity docs are reducing protein in clients because of the data below.

mTOR grows muscles, but it also accelerates cellular aging.

[Paul Graham @paulg]

@jordanwcjackson It's normal in college not to know what you want to do. And indeed part of the purpose of college is to help you answer that question.

As long as you're working hard and learning a lot, you're heading in a good direction, even if you don't know where it ultimately leads.