Pooya Raki

Engineer at heart | Leading teams @safe {wallet}

[Pooya Raki @PooyaRaki]

تو که جات امنه، خوشبحالت!
#پست_موقت

این جمله دردناکیه که خیلی از ماهایی که ایران زندگی نمی کنیم این روزها می شنویم. ظاهر و معنای جمله کاملا درسته ولی همیشه میگن مرگ ی بار شیون هم ی بار ولی ما روزی چند بار روح مون تا نزدیکی آرامش ابدی میره ولی همین که پیام “ما خوبیم” رو می بینیم بر می گرده. نمی دونم جسم مهم تره یا روح. اگر روحت بمیره جسمت چطوری اونو می ندازه رو دوشش و می کشه دنبال خودش! ولی اتمام جسم یعنی آرامش! کی بیشتر درد می کشه؟

#مهاجر

پ.ن: به امید آرامش و سلامتی برای تمام دوستان هموطن عزیزم ♥️

[Pooya Raki @PooyaRaki]

Why is most human customer support these days (with some exceptions) even worse than AI support?

[Pooya Raki @PooyaRaki]

@safe Defenders United 🛡️
@dappcon

[Pooya Raki @PooyaRaki]

The key to success is consistency!

Generated with @grok imagine(not so good but not bad), Grok knows very well how to make it spicy lol :)

[Pooya Raki @PooyaRaki]

@davidpattersonx Well, in this example it’s the same percentage. I don’t even wanna get into why 300k is still meaningfully more than 30k despite being the same %.

But there’s also something called progressive tax rates, which @grok can explain to us :)

[Pooya Raki @PooyaRaki]

@davidpattersonx This is so true. What would motivate someone to earn more if they’re just going to hand over the biggest chunk of it in taxes?

[Pooya Raki @PooyaRaki]

@Extended_Humans @CodeWithAmann Well, I didn’t experience that over the weekend. Maybe its servers are busier during the workweek!

[Pooya Raki @PooyaRaki]

@PsychopathDz @Feliks_L @CodeWithAmann You just need to get an API key from their website and plug it into OpenCode or even Claude code. You can also run it locally if you have the hardware.

[Pooya Raki @PooyaRaki]

@CodeWithAmann Well if Composer is built on Kimi then I‘m out :)

[Pooya Raki @PooyaRaki]

@Feliks_L @CodeWithAmann Pro - max effort

[Pooya Raki @PooyaRaki]

People are scared of @deepseek_ai stealing their codebase…

But isn’t it kinda the opposite? 😄
We’re the ones cloning its code into our repos!

Who’s storing who at this point? 🤔

[Andrew Ng @AndrewYNg]

AI-native software engineering teams operate very differently than traditional teams. The obvious difference is that AI-native teams use coding agents to build products much faster, but this leads to many other changes in how we operate. For example, some great engineers now play broader roles than just writing code. They are partly product managers, designers, sometimes marketers. Further, small teams who work in the same office, where they can communicate face-to-face, can move incredibly quickly.

Because we can now build fast, a greater fraction of time must be spent deciding what to build. To deal with this project-management bottleneck, some teams are pushing engineer:product manager (PM) some teams are pushing engineer:product manager (PM) ratios downward from, say, 8:1 to as low as 1:1. But we can do even better: If we have one PM who decides what to build and one engineer who builds it, the communication between them becomes a bottleneck. This is why the fastest-moving teams I see tend to have engineers who know how to do some product work (and, optionally, some PMs who know how to do some engineering work). When an engineer understands users and can make decisions on what to build and build it directly, they can execute incredibly quickly.

I’ve seen engineers successfully expand their roles to including making product decisions, and PMs expand their roles to building software. The tech industry has more engineers than PMs, but both are promising paths. If you are an engineer, you’ll find it useful to learn some product management skills, and if you’re a PM, please learn to build!

Looking beyond the product-management bottleneck, I also see bottlenecks in design, marketing, legal compliance, and much more. When we speed up coding 10x or 100x, everything else becomes slow in comparison. For example, some of my teams have built great features so quickly that the marketing organization was left scrambling to figure out how to communicate them to users — a marketing bottleneck. Or when a team can build software in a day that the legal department needs a week to review, that’s a legal compliance bottleneck. In this way, agentic coding isn’t just changing the workflow of software engineering, it’s also changing all the teams around it.

When smaller, AI-enabled teams can get more done, generalists excel. Traditional companies need to pull together people from many specialties — engineering, product management, design, marketing, legal, etc. — to execute projects and create value. This has resulted in large teams of specialists who work together. But if a team of 2 persons is to get work done that require 5 different specialities, then some of those individuals must play roles outside a single speciality. In some small teams, individuals do have deep specializations. For example, one might be a great engineer and another a great PM. But they also understand the other key functions needed to move a project forward, and can jump into thinking through other kinds of problems as needed. Of course, proficiency with AI tools is a big help, since it helps us to think through problems that involve different roles.

Even in a two-person team, to move fast, communication bottlenecks also must be minimized. This is why I value teams that work in the same location. Remote teams can perform well too, but the highest speed is achieved by having everyone in the room, able to communicate instantaneously to solve problems.

This post focuses on AI-native teams with around 2-10 persons, but not everything can be done by a small team. I'll address the coordination of larger teams in the future.

I realize these shifts to job roles are tough to navigate for many people. At the same time, I am encouraged that individuals and small teams who are willing to learn the relevant skills are now able to get far more done than was possible before. This is the golden age of learning and building!

[Original text: https://t.co/1pUxNC5UXk ]

[Pooya Raki @PooyaRaki]

Safe is a cornerstone of the Ethereum ecosystem.

[Safe.eth @safe]

Safe is the bedrock of crypto infrastructure.
The numbers prove it.

[Pooya Raki @PooyaRaki]

There’s a bug in X:

Tap Edit Profile -> Edit Professional Profile.
App freezes for a few seconds… then crashes.

Hey @elonmusk mind taking a look?

[Pooya Raki @PooyaRaki]

@sama You mean really good at burning tokens no? :)

[Pooya Raki @PooyaRaki]

Running AI agents like Codex/Claude locally without isolation is stressful.

Even “strong” sandbox settings can be bypassed by mistake.

Just run them in Docker instead!
Super easy: one Dockerfile that installs the CLI inside the container.

Now you can let them cook without worrying about your system.

More freedom, Less stress!

I’ll share a quick guide soon…

[Pooya Raki @PooyaRaki]

everyone’s trying to do more
faster, louder, nonstop

and I’m just here wondering

is this life
or just a race?

[Pooya Raki @PooyaRaki]

@Anoyroyc Tried Composer 2, in my experience it hallucinates a lot compared to models like Opus.
It even generated way more code than needed for something that should’ve been just a couple of lines.