chad fowler

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chad fowler

chad fowler

@chadfowler

programmer, general partner @blueyard, author of upcoming book Crypto & Web3: The Good Parts. prev @wunderlist, @microsoft, @rubycentral, @rubyconf @railsconf

New York, USA Katılım Şubat 2007
4.8K Takip Edilen306.4K Takipçiler
Seref
Seref@hyperseref·
A week in SF and I’ve genuinely never experienced anything like this before. Bizarre place. You have breakfast with someone rebuilding interfaces from first principles, spend the afternoon with someone inventing a new market primitive, and end the night talking to a person replacing the compute layer underneath both. The weird part is that none of them really know each other.
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Simone Carletti
Simone Carletti@weppos·
It's here! The new @dnsimple CLI is now available. 🎉 This was a truly exciting project to work on. The best part? Talking with users, customers, and friends of DNSimple to learn how people are combining CLIs with AI/LLM agents. developer.dnsimple.com/cli/ x.com/dnsimple/statu…
dnsimple@dnsimple

🎉 Just shipped: the official DNSimple CLI - manage your domains, DNS records, and SSL certificates straight from your terminal or CI pipeline. Read the latest blog post covering the setup, key commands, and real-world use cases 👉 blog.dnsimple.com/2026/05/anno...

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chad fowler
chad fowler@chadfowler·
In the year 2027 it will be seen as irresponsible for humans to write their own code and insanely inefficient for humans to review all code created by agents Come hear me speak in London on June 1st so you can either listen to why I believe this is true and how we make this okay or at least yell at me in the hall afterward  😅
AI Native Dev@ainativedev

What if the future of software isn’t maintaining systems… but continuously rebuilding them? Chad Fowler ( @chadfowler ) is joining AI Native DevCon London 2026 with one of the most thought-provoking architectural conversations of the event. A technologist, investor, author, and longtime voice in software engineering, Chad has spent decades shaping how developers think about systems and careers. From co-founding Ruby Central to leading engineering organizations at Microsoft and Wunderlist, his work has consistently challenged industry assumptions. Now, through what he calls Phoenix Architecture, he’s asking a much bigger question. What changes when software becomes easier to regenerate than to fully understand? In his session, An Architectural Approach to Regenerative Software, Chad explores how AI is shifting the economics of software development and why many of our existing assumptions about stability, maintenance, and architecture may no longer hold. What this session explores • Why AI changes the balance between maintenance and regeneration • How to think about systems where implementations are constantly replaceable • What parts of software architecture actually need to remain stable • How trust, durability, and coherence evolve in AI-native systems • The human costs of instability and what architects must protect This isn’t a framework talk or a checklist. It’s a deeper exploration of how software engineering itself may need to evolve as agents reshape the mechanics of building systems. If you enjoy talks that challenge foundational assumptions and leave you thinking long after they end, this is one to catch. Join us in London or online: tessl.io/devcon/ (use AIND-X-BB-20 for 20% discount)

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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.
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chad fowler
chad fowler@chadfowler·
@mitchellh I'm writing a book about this. Preview here but the real book will be in early access soon. To me it's all about relocating rigor into architecture, evaluations, etc. We have a chance now to do all the "best practices" we never had time or money to do. aicoding.leaflet.pub
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chad fowler
chad fowler@chadfowler·
@anay_sim 100% Social media amplifies tihs problem. Especially platforms like this one that were going off the Rails under the stress of humanity and then accelerated heavily by a maniac a few years ago. FWIW I am more excited and optimistic than I've been in years.
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anay
anay@anay_sim·
I was talking to a founder yesterday who was frustrated by how negative the timeline feels lately, especially among VCs. I’ve noticed the same thing. My takeaway is that it’s much easier to critique something than it is to stand for something. And as people increasingly outsource their thinking to machines, that dynamic only becomes more pronounced. Conviction will become more rare (& more valuable).
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timour kosters
timour kosters@timourxyz·
I think ambient intents are going to be a big deal. There are so many intentions we have that would make our lives better, but the cost of surfacing them to a market it too high, so they never become legible to the world. You want a better job, you want to swap your couch, you would apartment-swap with someone in your web-of-trust, you would upgrade from a two-bedroom to a three-bedroom if there were some graceful way to find the person who wants to size down, and you would love to sublet you place in New York without posting on Instagram and making 95% of you friends read a logistical errand that has nothing to do with them. Right now, the cost of expressing these intents is high. You have to remember the want, decide it is worth acting on, find the right channel, phrase it socially, tolerate the inbound, filter for trust, negotiate details, and then keep the whole thing alive in your head. So most of the long tail dies. Agents change this because they can keep the low-grade, half-formed wants running in the background. They know your calendar, your travel plans, your music, your reading, your friends, your constraints, and maybe your willingness to be interrupted. You listen to a band on repeat on Spotify and your agent notices they are playing 20 minutes from where you will be in California next month. You highlight a book you love in Readwise and it tells you that your friend is reading it too, and you will both be at the same dinner next week. You mention wanting Berlin in June and it quietly checks whether any trusted people from there want to apartment swap in New York then. The magic is lowering the cost of noticing, holding, matching, and negotiating these things. It will feel like a higher level of serendipity. This will require a web-of-trust that has yet to be built because there is an important privacy aspect to this. The dystopian version is "AI companies capture your intentions and auction them to whoever wants to manipulate you." The useful version is user-owned intents, where your agent can prove enough to match or negotiate without dumping your private life into a marketplace. Some of this already has been solved in cryptography: private set intersection for finding overlaps without revealing all non-matches, secure multiparty computation / homomorphic encryption for computing matches or scores over private inputs, zero-knowledge credentials for proving things like membership, attendance, reputation, or trust path without exposing everything underneath. If this works, a lot of modern life gets more liquid. Idea sharing, couches, apartments, reading groups, dinner plans, travel overlaps, introductions, tiny labor exchanges, borrowing a camera, finding the one person at an event who cares about the same weird thing. All the stuff that currently relies on posting into the void and hoping the right person happens to see it. The hard parts are real: consent, spam, weird incentives, agent loyalty, social context, and making sure this becomes a tool for people rather than a new ad exchange with better vibes. But I increasingly think the big unlock is giving our unexpressed intentions a safe place to live, and giving our agents permission to help them find each other. I know of @indexnetwork_ working on this. Anyone else?
timour kosters tweet media
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CHOMP
CHOMP@chompdotfyi·
introducing the new CHOMP. an identity built for what people actually think
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timour kosters
timour kosters@timourxyz·
I'm looking but surprised to find there is no open-source version of a screenless tracker like this or whoop. I don't want to be stuck seeing my data in their apps; I want to buy the sensors and vibe engineer my own dashboards + own my data. Is there anything like that?
Google@Google

Introducing Fitbit Air. It’s lightweight, screenless and comfortable enough to wear 24/7 — with a battery life* of up to a week. * Battery life depends upon many factors and usage and actual battery life may be lower.

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Bryan Peters (bpetes)
Bryan Peters (bpetes)@BryanPetes·
@indexnetwork_ The underrated AI use case is making serendipity legible. If 500 people each have an agent that understands what they care about, the network can start making introductions no one would have thought to search for. Nice one!
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BlueYard Capital
BlueYard Capital@blueyard·
Congratulations to team @centrifuge on taking a key step to becoming the essential infrastructure layer for tokenization
Centrifuge@centrifuge

Coinbase has made a strategic investment in Centrifuge and selected Centrifuge as a Preferred Tokenization Infrastructure. Centrifuge brings deep institutional tokenization expertise. @coinbase brings consumer access, institutional relationships, and developer reach. Together, we’re bringing differentiated assets to @base.

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Seref
Seref@hyperseref·
if you haven’t done it yet, here’s your chance to star the Index repo: github.com/indexnetwork/i… we’re 3 away from 100 stars
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Seref
Seref@hyperseref·
we'll be in SF for a month together with @serensandikci. let us know if you’ll be around and if you want to grab coffee! we’ll also be at @JoinEdgeCity for a week in mid-June. we’re cooking something special for the residents, stay tuned!
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Max Segall
Max Segall@segall_max·
We love PAYYYY
Privy@privy_io

1/ Privy now supports @payy_link, an EVM-compatible network built for private transactions. Bring confidentiality to stablecoin payments, without changing how you build. Use Privy wallets to authenticate users, sign messages, and send PUSD with minimal setup.

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