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The best programmers don't write code anymore. They write a spec. A test. An eval. T Then they turn the AI on and walk away for hours. It runs. It ships. They review. Evals are the unlock most devs are sleeping on. Here's how top agent teams build them right.

Rohit

23,664 subscribers

690,904 просмотров • 3 месяцев назад •via X (Twitter)

Образование Наука и технологии

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LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:

LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:

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Today, teams ship AI-generated code faster than they can verify it. AI will write most of the world's code, Momentic will make sure it works. We've raised a $15M Series A led by Standard Capital to build the definitive source of truth for software.

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Former CEO of Google, Eric Schmidt: "traditional programming is over, and i'm mourning the identity i built around it" Programmers don't write code anymore — they wake up, assign objectives to AI agents, go to lunch, and let them run overnight For anyone still coding the old way: "stop. it's over"

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I don't think most PMs realize the PRD is becoming obsolete. For the last decade, the PM's core artifact was a qualitative spec. Clear requirements, user stories, acceptance criteria. The engineering team interpreted it, built something close, and the PM spent two weeks reconciling what shipped with what they wrote. The best AI companies replaced that entire loop with evals. A set of inputs your product needs to handle. A task that generates outputs. A scoring function that produces a number between 0 and 1. No ambiguity. No interpretation gap. Ankur Goyal built the eval platform behind Vercel, Replit, Ramp, Notion, and Airtable. An $800M company. He walked through building an eval from zero on this episode and the score went from 0 to 0.75 in under 20 minutes. That's a PM shipping a measurable quality bar before a single line of product code exists. Here's the part that changes the PM role permanently. When the product passes the eval and users still hate it, the eval is wrong. That's on the PM. Evals make PM judgment quantifiable in a way PRDs never did. You can't hide behind "the spec was ambiguous." There's a number now. Six months ago, PM interviews asked "how do you use AI in your workflow." The next wave of interviews is going to ask you to write an eval. The PMs who can encode user intent as a scoring function are building the one skill that survives every model change, every framework swap, every agent rewrite. Write the eval.

I don't think most PMs realize the PRD is becoming obsolete. For the last decade, the PM's core artifact was a qualitative spec. Clear requirements, user stories, acceptance criteria. The engineering team interpreted it, built something close, and the PM spent two weeks reconciling what shipped with what they wrote. The best AI companies replaced that entire loop with evals. A set of inputs your product needs to handle. A task that generates outputs. A scoring function that produces a number between 0 and 1. No ambiguity. No interpretation gap. Ankur Goyal built the eval platform behind Vercel, Replit, Ramp, Notion, and Airtable. An $800M company. He walked through building an eval from zero on this episode and the score went from 0 to 0.75 in under 20 minutes. That's a PM shipping a measurable quality bar before a single line of product code exists. Here's the part that changes the PM role permanently. When the product passes the eval and users still hate it, the eval is wrong. That's on the PM. Evals make PM judgment quantifiable in a way PRDs never did. You can't hide behind "the spec was ambiguous." There's a number now. Six months ago, PM interviews asked "how do you use AI in your workflow." The next wave of interviews is going to ask you to write an eval. The PMs who can encode user intent as a scoring function are building the one skill that survives every model change, every framework swap, every agent rewrite. Write the eval.

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We are in a technological war with China, we really are. There are three countries that spend the most on AI. Number one is the US, number two is China, number three is the UAE. The UAE is friendly to the US, they work on American chips, they work with Nvidia. And so if we didn't give them chips and we starved them from technology, they would simply buy them from Huawei. The problem with that is that the chip is the queen bee. You set a chip out into the ecosphere, all the honeybees gather around it, they're the programmers, and they make the honey, they write the code, they create the value of the hive. Every time the queen bee's DNA is upgraded, all the other bees know how to write that code and make that honey. Do we want American honey out there or do we want Chinese honey?

We are in a technological war with China, we really are. There are three countries that spend the most on AI. Number one is the US, number two is China, number three is the UAE. The UAE is friendly to the US, they work on American chips, they work with Nvidia. And so if we didn't give them chips and we starved them from technology, they would simply buy them from Huawei. The problem with that is that the chip is the queen bee. You set a chip out into the ecosphere, all the honeybees gather around it, they're the programmers, and they make the honey, they write the code, they create the value of the hive. Every time the queen bee's DNA is upgraded, all the other bees know how to write that code and make that honey. Do we want American honey out there or do we want Chinese honey?

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Don't let AI write code blindly. In Antigravity, request an "Implementation Plan" artifact first. Review the architecture, edit the markdown logic, and then approve execution. Control the outcome, don't just hope for it.

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Andrej Karpathy's advice for beginners getting into AI: "Put in 10,000 hours of work." He's right. But most builders waste the first 1,000 hours on the wrong things. They write code before understanding context windows. They build agents before understanding token limits. They ship products before understanding what models can't do. The builders who compound fastest aren't the ones who code the most. They're the ones who understood the fundamentals before touching a single line. These are the 10 concepts that make the first 1,000 hours count ↓ Bookmark this before you start.

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🚨 Jeffrey Epstein says the best traders act on intuition they don't fully understand "If you talk to really experienced and successful traders and you ask them how they know what's going on, they can't give you an answer. They don't know. They feel it. They can feel the way the market's moving. They can feel the way the stock's moving. And that these are not very well-defined terms. Great traders feel it and then act on their feelings. That's the difference. Many people feel it but are afraid because they want a mathematical justification before they take that next step."

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Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

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The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.

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Santiago

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Shotzzy answer's on which top teams look the best right now 🗣️🌶️ "Paris know what they're doing on the map, one of the few teams" "LAT are pretty inconsistent at it" "FaZe... I just think they are sh*t right now" "I think Toronto is a good team" 👀😳

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"It should be criminal for the younger generation to be called a leader while they can't write anything into much clearer or coherent perspective. Those who can't write anything are the most corrupt, all they do is to mimic their senior leaders, how they talk and their tone then we tend to think they're clear, while they can't even write down their ideas into clearer perspectives." - President Nyiko Floyd Shivambu 🖤💚❤️💜

"It should be criminal for the younger generation to be called a leader while they can't write anything into much clearer or coherent perspective. Those who can't write anything are the most corrupt, all they do is to mimic their senior leaders, how they talk and their tone then we tend to think they're clear, while they can't even write down their ideas into clearer perspectives." - President Nyiko Floyd Shivambu 🖤💚❤️💜

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If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

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