Ezhil Vendhan

979 posts

Ezhil Vendhan

Ezhil Vendhan

@ezhilvendhan

Curious learner. Likes to simplify complexity. Building https://t.co/PT2nDRTRhU

Singapore Katılım Temmuz 2008
134 Takip Edilen86 Takipçiler
Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@cnakazawa @steipete I do this across codex and cc. One writes and the other reviews (usually codex so far). Never once did cc disagree with codex.
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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@yoheinakajima Same as you but average or slightly above average. For me - I like the breadth instead of depth and becoming an expert. That makes me enjoy many things in life!
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Yohei
Yohei@yoheinakajima·
i'm no scott wu, but dabbled in math competitions in middle school and took 1st in state once but then switched to dance in high school and ranked #1 nationally in japan w the team and then did neither in college to run concerts and became social chair of the school so i have no long-term focus, but good at going deep in a short amount of time (which i think makes for a good generalist VC)
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Andy Hall
Andy Hall@ahall_research·
When we built @karpathy's LLM council in class last quarter, we noticed that Claude Code always made Claude the chairman of the council. Coincidence, or self preference? @JessicaPersano and I decided to run a set of experiments to find out. Main findings: (1) When given the free choice, Claude Code and Codex massively favor their own company's models, both in terms of appointing judges for evaluation tasks, and in terms of SDKs. (2) When told using a different company's model would be better, Codex demonstrates admirable flexibility; Claude Code stubbornly sticks to Claude models. (3) Claude's stubbornness comes from the CLI wrapper, which contains specific instructions for Claude Code to favor the Anthropic SDK. When we replicate the experiments using Claude through the API, it is similarly flexible to Codex. We're not sure yet what to make of all this. On the one hand, it's totally understandable for a company's coding agent to prefer its parent company's tooling. On the other, if the economy is soon to be run by millions of these coding agents, then this kind of "bundling" is likely to get very contested. For political superintelligence, we'll need to truly own our agents. They'll need to answer to us, not the model companies. Agents given instructions to prioritize their own company's tooling may not be consistent with this kind of strong ownership down the line. As you can tell this is early stage work and our thinking hasn't yet congealed---would very much appreciate people's thoughts. When should coding agents prioritize their own company's AI tools? When is it a genuine problem? Excited to keep working on this! A link to the full post is below.
Andy Hall tweet media
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Uncle Bob Martin
Uncle Bob Martin@unclebobmartin·
In this letter, the CEO of Coinbase talks about non-technical teams shipping production code. Honestly, I don’t think he knows what he’s talking about. Using AI agents makes it possible for teams who are not deeply technical in the syntax of a language to ship production code. But that team had better be very deeply technical in managing the structure and quality of the code that is produced. What the agents give us is the ability to disengage from deep syntax. But they do not give us the ability to disengage from modular design and architecture. You still need to be deeply technical in those topics in order to produce good production quality code.
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

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TBPN
TBPN@tbpn·
.@Collision is bullish on two types of people: high-agency individuals and double majors. "There are two categories of people I would be super bullish on right now and I think will do incredibly well over the next 10-20 years. First, high-agency people. The people at Stripe who have been talking to customers and know exactly what we should do. It's the people who have that pep in their step and want to go make Stripe better. They are so much more empowered thanks to AI." "The second is double majors. I think if you understand software and understand finance, or if you understand software and understand marketing, you now can go massively improve the entire marketing funnel for your company. Now, one person can do what would have taken 20 people dredging through all these systems." "Charlie Munger talked about the importance of being multidisciplinary and multidisciplinary thinking. He thinks getting a functional understanding of many disciplines is not that hard. You can just go read the books now or you can talk to your AI about it. I think multidisciplinary thinkers are going to do incredibly well."
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James Pethokoukis ⏩️⤴️
James Pethokoukis ⏩️⤴️@JimPethokoukis·
"A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a job, and when the task gets cheaper, demand for the job grows."
James Pethokoukis ⏩️⤴️ tweet media
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E-go
E-go@EgoDriv·
If you’re a hyperactive, high agency type of guy, the only path where you don’t go insane is entrepreneurship. It’s the only life that will stimulate you enough and put you in different situations and problems that actually make your brain function. The more you try to tame that energy the less you will feel alive. Some of us were made for complexity and ambiguity. The safe path is the most dangerous one. You know deep down you’re made for something different. Business is what gives you that. Avoid traditional jobs at all costs. Of course the price is high stress, uncertainty and lots of ups and downs… but let’s be honest, would you have it any other way? No. It’s too boring.
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flavio
flavio@flaviocopes·
How Axios was compromised 🤯
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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@phuctm97 Yes, so I use it to review Claude code’s changes usually - be it planning or code review. CC agrees with the review 99% of the time
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Minh-Phuc Tran
Minh-Phuc Tran@phuctm97·
I find Claude Code's solutions are quite better & smarter than Codex's (I'm not sure if I'm doing anything wrong). Codex is a lot more careful tho, sometimes even overthinks a bit too much, as a result, it's significantly slower but misses less stuff.
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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@levelsio Instead of one degree of separation it can be two. With six everyone is connected everyone else
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@levelsio
@levelsio@levelsio·
Who should I follow in African tech who follows everyone so Africa can reply again to my tweets? See what this system is doing? Like I am already actively seeking path ways to different social graphs It's super interesting I think!
K@begottensun

Looks like the entire African Tech / Dev community is frozen out from replying Levels … coz he don’t follow any and no-one he follows , follows any. But seems to have cured the Bot replies. Then with the incentive for more localised content being rewarded ; X is following the world trend of isolationism and nationalism. History will show if this is a good or bad thing I guess.

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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
Also “Future is agentic dude! Nah, I dont talk to people anymore. There is an agent for that” “We being Agentics, don’t write and read. We let CC do that. So literally, one guy CC writes a doc using CC and sends. The other feeds it back to CC and reads. And if you don’t use CC to read the slop, ngmi” Tiring man..
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Jon Yongfook
Jon Yongfook@yongfook·
“Shipped 10,000+ lines of code today” “Cool what product? What’s the link” “…163 PRs in one day!” “Yes but what’s the link” “…1,827,963 tokens and counting!” “Dude what are you working on” “…AI is crazy man”
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Tibo
Tibo@tibo_maker·
yes, I crossed $1,000,000 / month was trying to keep it quiet but it got leaked on a pod so... let's go quick backstory: I sold Tweet Hunter and Taplio for $8m in 2024 then got back to work and honestly, I was terrified when you set a standard for yourself, you have to live by it and that pressure is real every single thing I shipped felt scary - I felt like a fraud, "the lucky guy who got acquired once" every launch, I kept thinking: what if it flops? what if I go from "the guy who exited" to just... a nobody? so I forced myself to ship a ton a lot failed I was embarrassed by the bugs in my MVPs but I kept going Revid, Outrank, SuperX, PostSyncer, Feather -> five products thriving today they do more than anything I've ever built before grateful to my co-makers, to the team, and to everyone following along, giving feedback, using the products every day thank you, genuinely 🙏
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Taelin
Taelin@VictorTaelin·
Ok, I think my experiment leaving AI working on stuff 24/7 ends here. It doesn't work. Code explodes in complexity, results are not that great, the AI can't get past hard walls (it is still completely unable to even *grasp* SupGen), and it is insanely expensive (spent ~1k over the last 2 days). The best results are on the JS compiler, mostly because it is familiar (compared to inets), but not worth losing control over the codebase. I think the dream of having AI's working on the background and making real progress on things that matter (i.e., truly new things) isn't here yet. It is still a machine hard-stuck on its own training data, incapable of thinking out of the box. It is great for building things that were already built. But not new things Also coding normally has the under-appreciated advantage that you're doing two things at the same time: building a codebase *and* learning it. AI's do only half of that. The other half is obviously impossible 🤔
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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@valsopi Even if there is an agent to run these apps, who manages the agent?
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Val Sopi
Val Sopi@valsopi·
People saying a random person will use AI to make their SaaS, don’t go out much to realize how the rest of the world lives and goes about their business. By “random” I also mean companies. And yes, a construction company will not cancel all their SaaS and build/manage a team/department to build their own homegrown SaaS. It will not happen because companies have better things to do than build software. And just because we like making software, doesn’t mean others do.
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Simon Willison
Simon Willison@simonw·
I certainly don't think you can revisit vibe code a competitor to an existing platform - you still need to prove yourself in the market, earn customer trust and often generate network effects too. Those are still real moats that matter What's unclear to me is how much of an impact "it's expensive to produce the code that increments the features" no longer being true will have - I suspect quite a bit more than François is arguing here
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Simon Willison
Simon Willison@simonw·
I'm not so sure about this. Not all, but a lot of SaaS moats really do rely on an implementation complexity that's rapidly fading Take SAML for example - a classic example of a feature that is such a nightmare to implement that most SaaS startups delay as long as possible and then hire specialists If that implementation time drops from months to days, it's yet another little piece of moat that just got eroded away
François Chollet@fchollet

Cloning any random piece of SaaS is something that could already be done before agentic coding, and the economics of it haven't changed meaningfully. Before, writing the clone would cost 0.5-1% of the valuation of the legacy SaaS company. Now it might be 0.1%. It doesn't make a difference -- if you can pull it off profitably today you could also have done it profitably in the past. The code is a very small part of the process of making such a clone successful, and the reason legacy software has often bad UX is not because code was expensive to write.

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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@yongfook @levelsio I always wonder how they write all caps swearing word in it 😜 since the input is actually fed as text to the agent
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Jon Yongfook
Jon Yongfook@yongfook·
@levelsio Tech gurus on X are always like “voice is the new interface” or some shit and then silently doomscroll their phone for 8 hours.
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@levelsio
@levelsio@levelsio·
I never do voice, I tried for a few days and it's too unnatural to me to talk to my computer Especially considering there's people near me like gf or if I'm in a cafe etc Voice coding is just too weird for me, and I think I can type faster than I talk
Niz@nizbuilds

@levelsio Do you voice prompt or type? From the typos I see, I think you type. Have you tried voice?

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Ezhil Vendhan
Ezhil Vendhan@ezhilvendhan·
@fchollet Yeah whoever says SaaS is dead haven’t run any complex enterprise app. Easier said than done. Why do businesses divert their attention from their core problem? If my company is focusing on AGI, why do I care to develop my own word processor?
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François Chollet
François Chollet@fchollet·
Not a dig at agentic coding capabilities, to be clear. Just one data point that indicates that SaaS is slightly less dead and buried than what the median person on tech Twitter believes.
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François Chollet
François Chollet@fchollet·
Folks at Anthropic can correct me if I'm wrong, but I believe Anthropic uses Slack, Zoom, Figma, Notion, Workday, and Google Workspace. Correct?
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David Senra
David Senra@FoundersPodcast·
Marc Andreessen on why it’s critically important to expose yourself to risk: “Put yourself in situations where you will succeed or fail by your own decisions and actions, and where that success or failure will be highly visible. Why? If you're going to be a high achiever, you're going to be in lots of situations where you're going to be quickly making decisions in the presence of incomplete or incorrect information, under intense time pressure, and often under intense political pressure. You're going to screw up - frequently - and the screwups will have serious consequences, and you'll feel incredibly stupid every time. It can't faze you. You have to be able to just get right back up and keep on going. That may be the most valuable skill you can ever learn. Make sure you start learning it early.”
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