Dennis Yang @sinned

@clairevo I tried pushing on the image because I thought this was a video and I was confused.

@maiab I’m working on an agentic FB marketplace helper..

@clairevo My codex lost all my local sessions this morn. I was devastated until I (ok, chatgpt) figured out how to fix it (corrupted sqlite)

@JeffDean Wow, what a journey Jeff!!! I’m so excited to see what you build, create and discover next. Congrats.

@maiab Omg I would be so sad. I love live photos!! I have one live photo from pretty much every day for the past 9+ years.. I think I’ve missed one day.

@lennysan @clairevo I just accidentally had a whole chat with Codex instead of ChatGPT and Codex happily gave some great parenting advice. What archetype does that make me?

where’s waldo?

@lennysan Either way… congrats!!!!

@lennysan Looks like that’s paid subs tho? Or revenue? You have more subscribers than citrini…

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@jeff_weinstein @stripe How can I subscribe to your inbox plz

@maiab Happy Birthday!!

I love this so much. Gorgeous site, amazing execution. Well done.

Teddy @WarnerTeddy

3 months ago

i mounted a tiny microphone on my apartment balcony to listen for any birds passing by and built a site to collage them as they're heard

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TL;DR of my new article: every Agentic Engineering hack I know. This used to be vibe coding. Around last Thanksgiving it got good enough to become something real. 📝 The moment you have an idea → /ce-plan a plan.md, with Compound Engineering by @kieranklaassen + @trevin. Fuzzy? /ce-brainstorm first 🙈 Make the plan, don't read it. Plans are for agents 🧠 Use /ce-plan for your deepest NON-code work too (strategy, specs, research) 🎙️ Get voice-pilled. Talk, don't type (@usemonologue or @WisprFlow) 🪟 Run 4-6 tabs in cmux (@manaflowai), one task each ⌨️ New tabs open straight into Claude or Codex 📱 Remote-control every session + give your agent its own email address on @agentmail ☠️ Dangerously skip permissions. YOLO. It's my computer 🔀 /ce-work --codex: route the build to @OpenAI Codex without leaving Claude 🔎 Run @slashlast30days before you /ce-plan 🥣 @meetgranola everything. Drop the RAW transcript in, don't summarize ✋ You're the taste; the agents are the hands 🎬 Build video in the CLI so an agent can write it (@HyperFrames_ ) 📚 Point your agents at your notes + memory (@garrytan's GBrain, @supermemory) ✈️ Work from anywhere: mosh, tmux, @NousResearch's Hermes + @openclaw 📄 Share a plan with a human in Proof by @EveryInc 🛠️ Anything you do twice, write a skill for it. That's the compounding part 🌟 Contribute to the open source you love 🔋 Never-sleep laptop + a battery brick in the bag 🤖 Printing Press by @ppressdev: CLIs that run real life. Tesla, groceries, flights ⚠️ Watch for AI psychosis. Touch grass, talk to the people you love, build things people want (even if people is just you) 🚀 The YOLO TL;DR: paste this whole article into your agent and tell it to make a plan to set ALL of it up, one by one.

Matt Van Horn @mvanhorn

2 months ago

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So good.

My biggest takeaways from @danshipper: 1. The future of work will happen inside Codex or Claude Code. Instead of putting AI into your SaaS tool, you’ll use your SaaS tools inside your favorite AI agents' in-app browser. Dan spends all his time in Codex now—writing documents, managing email, doing research, everything. He's using Google Docs, PostHog, and everything he needs within the agent's in-app browser. The agent can see what he’s doing, and has all of his context, so he and his agent collaborate quickly and super effectively. 2. Automation is a lie—every automation needs a human. Dan's company doubled in size this year despite being incredibly AI-forward. Why? Because in order to make automation work well, you need humans making sure everything keeps working. This is why benchmarks are misleading—they measure AI on problems we’ve already framed and can score, but there’s always a higher frame. 3. PMs will win the AI era. Marcus, a former PM who previously ran Axios’s writing product, joined Every after getting super AI-pilled. Now he runs their product Spiral, and ships faster than anyone on the team. He pairs technical knowledge with spiky product sense, deep user empathy, and an eye for what matters. Dan thinks any PM who gets really AI-native will be incredibly dangerous because the building is done for you—what matters is figuring out what to build and if it’s great. 4. Full-stack designers are becoming superheroes. Designers used to make beautiful interactions that engineers didn’t want to build or couldn’t execute properly. Now designers don’t need to hand things off; they can build it themselves. Designers are naturally creative people, and AI is the perfect tool for them because it lets them bring their vision to life without the traditional bottlenecks. 5. SaaS is not dead. In fact, Dan is bullish on SaaS stocks. When users bring their own AI (via Codex or Claude Code) to use SaaS products, the user—not the SaaS company—pays for tokens. This saves SaaS company’s margins. Since the agents need their own seats, Dan predicts that agents will create massive new demand for SaaS because there will be tons of agents using these products at high volume. 6. Every company will have one “super-agent” inside their Slack that every employee will use. Dan initially thought every employee would have their personal work agent, like a shadow AI org chart, but he’s completely flipped his view. He realized agents need humans who care about them. When someone gets tired of maintaining their personal agent, it becomes useless. The winning model is one forward-deployed engineer or AI-savvy person who maintains a company-wide agent (like Shopify’s River or Viktor), and then it trickles down to more specialized team agents as models improve and become less fiddly. 7. The AI job apocalypse is not happening, but you do need to evolve to stay relevant. Models make yesterday’s human competence cheap. But because everyone uses the same models, it all looks the same if you use it the default way; it becomes commoditized slop. Humans then take that frozen competence and use it to make something new and interesting for their specific situation. The key: “ride the models”—use them for everything you do, try new models when they drop, keep turning over rocks. 8. We will read way more AI-generated writing, and we will like it. Human writing is incredibly important for things that matter, but for internal docs, planning, and email, AI-generated is often better because most people are bad at writing strategy documents. 9. Build software for humans and agents to use together. The current model is building a CLI that an agent uses independently. Instead, you and your agent should be using the app together. This creates new design challenges—agents can make a billion requests in three seconds, so you need approval flows, inboxes that summarize what happened, logs, and easy rollback. 10. Forward-deployed engineers are the new most essential role. The big model companies have teams of people managing their internal agents, and those teams aren’t going away. It’s different from traditional software building, and certain engineers love it. As models get better, this role will evolve—you’ll be managing more agents doing more things.

Lenny Rachitsky @lennysan

3 months ago

Automation is a lie. CLIs are over. The SaaSpocalypse is dumb. A year ago @danshipper came on the podcast to predict where AI was heading. He was remarkably right—including the call that everyone was sleeping on Claude Code. Dan has a unique lens into where things are going

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If you read my essay After Automation this is the interview where I make practical predictions about what it means for your work:

Lenny Rachitsky @lennysan

3 months ago

Automation is a lie. CLIs are over. The SaaSpocalypse is dumb. A year ago @danshipper came on the podcast to predict where AI was heading. He was remarkably right—including the call that everyone was sleeping on Claude Code. Dan has a unique lens into where things are going

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Thanks for having me on the podcast, Rex!! Excited to share how AI is accelerating and changing how we do work here at Chime.

Rex Salisbury @rexsalisbury

3 months ago

What happens when your bank runs on synthetic users and autonomous agents? Dennis Yang reveals how Chime's massive AI deployment is about to fundamentally rewrite consumer commerce. (1:13) Are AI Minions Writing Chime's Code? (3:31) How Is AI Scaling User Research? (6:04) Why

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Today, we’re launching the @link wallet for agents. It lets you securely empower agents to spend on your behalf. Your payment credentials are never exposed and you approve every purchase. link.com/agents

New Anthropic research: Project Deal. We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf.