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Kieran Klaassen
@kieranklaassen
building @coracomputer | frontier team @every | compound engineering | agent-ophile | composer | maker | baker
1.3K Following    19.6K Followers
How to use jev #1#: As an embedder
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New compound engineering plugin is out!! We'll do more in depth posts and videos this week, maybe a live stream! This one is big and cool
I have tested GPT-6 Astra this week. It is a show horse, not a workhorse. Super fun to use and showy, does crazy good stuff, and design-wise it's the most interesting model I've run. But I don't know if I'd use it for a real day to day engineering/product work. It's not as trustworthy as the Fable class; it feels more like Opus weight with prettier output. But it's really fun for vibe coding and landing pages!
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The dark factory turns the light out in your head
WebMCP is SUPER cool!! All app builders should implement this in their web apps Showing you what it is in my open source app
this is what we call one shot in present days
Best place to get ideas is when hiking. @usemonologue to the rescue even when being offline.
Agents on Rails: We ran 8 models against 21 atomic tasks to see which were best at writing Rails code. 3 runs each: a bug report, a security finding, a feature request. The first benchmark report with findings is now live. So: what did we discover? As of August 2026: - Most accurate: @claudeai Opus 5 by @AnthropicAI (by a hair). Solved 92% of runs (58 of 63). (But for a little more than half the cost, you get almost the same accuracy with @Kimi_Moonshot.) - Cheapest: @OpenAI GPT-5.6 Luna. 73% of runs solved at default medium reasoning effort, and all 63 of its runs cost 90 cents combined. - Fastest: Luna again, at a median of 3.3 minutes per run task. - Best combination of all three: @OpenAI GPT-5.6 Sol. 84% accuracy, costing $0.52 and 5 minutes per run. Read all the findings in the first full benchmark report from @evilmartians here:
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Join us and some other people that want to know what the future is going to be like
I will be there. Come hang with us!
this is going to be so much fun! come join us! I'll be speaking about my fave subjects!
BREAKING: Introducing Thesis, @every’s annual conference dedicated to answering the most important question in AI: What does great human work look like after automation? We believe there is a small group of humans who already know the answer to this question because they’re living it every day. But they're scattered across companies and industries, with few opportunities to learn from each other. That’s why we’re throwing Thesis November 5th, 2026 in Brooklyn New York. Our first speakers include: - Ivan Zhao (@ivanhzhao)—Founder and CEO, Notion - Andrew Ambrosino (@ajambrosino)—Member of technical staff, Codex, OpenAI - Cat de Jong - Head of applied AI, Anthropic - Nick Thompson (@nxthompson)—CEO, the Atlantic - Josh Miller (@joshm)—CEO and cofounder, The Browser Company - Cristobal Valenzuela (@c_valenzuelab)—Co-CEO and cofounder, Runway - Lauren Reeder (@laurenmhreeder)—Partner, Sequoia - Sahil Lavingia (@shl)—Founder, Gumroad - Riley Brown (@rileybrown)—Cofounder, Vibecode - Natalie Fratto (@NatalieFratto)—Founder and creator, Charts & Crafts - Allie Garfinkle (@agarfinks)—Senior writer and editor, Fortune - Kane Kallaway (@kanekallaway)—Founder, Wavy Labs - Nat Eliason (@nateliason)—Head of Founders School, Alpha School - Kate Lee (@katelaurielee)—Editor in chief, Every - Katie Parrott (@kplikethebird)—Staff writer, Every - Kieran Klaassen (@kieranklaassen)—General manager of Cora, Every (With more very special people to announce soon!) Learn more: What to expect Thesis will feature talks, demonstrations, working sessions, office hours, and small-group conversations with builders, operators, and execs who are already using AI to do incredible human work. And, of course, you can bring your agent. Why New York New York is where the AI wave hits the beach: It's where new model capabilities meet real-world work. Because of this, it’s the best place in the world to see what happens when frontier technology leaves the lab and enters everyday life. That’s why we’re holding Thesis at Pioneer Works, a cultural center in Red Hook dedicated to blending art, science, music, and technology. Space is limited, so we’re accepting attendees by application. We’ll also livestream it for free for anyone who can’t attend in person. You should apply below. Apply to Thesis:
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Hard agree
Engineers and CTOs on X: I wrote this for you. Models and devs on X: I wrote this for you both. Enjoy. Or not. Some of you definitely won't. But I invite you to debate it. The world's changing very fast now.
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actually I never really used loop or goal, I just have a skill that defines the loop. Models are good enough and that gives more control.
Yesterday I cohosted a dinner with @dexhorthy with a wonderful group of founders, to talk about agent loops and loop engineering. Some interesting insights: * Most of our group was *not* actively using /loop in Codex/Claude Code * You can build long-running autonomous agent loops through multi-agent handoffs, event triggers, or….just stacks of cron jobs (?) * Almost everyone believes that no one will be reviewing code in 1-2 years. * The more interesting question is whether we’d be reviewing *anything* in 1-2 years. * AI is still a bit of a skill issue. Humans are responsible for maximizing AI output and reducing slopification. * Will human intellect provide alpha as models get better, or will the playing field be leveled? Most people think it will be leveled a bit, but there is a need for humans to provide alignment, guardrails, judgment, creativity. * The minimum amount of context you need for AI could be just the codebase with some documentation. Any research/plan files are for one-off tasks and not meant to be maintained. Having a self-organizing wiki is nice but adds complexity. If you missed this one, we’ll be hosting more dinners like this on a regular cadence! If you have thoughts on what we should talk about, let us know :) (e.g. continual learning, RL envs, competitive differentiation vs. Anthropic, etc.)
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90% of what i built i used voice
We heard you dictate and we raise you... the definitive guide to using voice with AI agents! In it: How Every team members talk to AI agents to patch bugs, write articles, clear their inboxes, and run multiple threads at once.
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I shipped 4 products in under six months at Every. 3 of them failed. The one that worked started as a weekend hack. Now it's crossed 500 million words dictated and TechCrunch put it on their best dictation apps list. I needed the 3 that didn't work to get here.
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I’m working to make Rails the best framework for building LLM apps. Another piece of that puzzle just dropped: Solid Queue 1.6.0 ships my fiber worker PR 🎉 Rails’ default queue can now run long-lived LLM jobs far more efficiently.
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in software, we're entering a new age of skyscrapers: rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work @openai is one of the few companies already operating at this scale so we @every spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:
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I’ve started building Machinen Desktop: a spatial desktop for persistent terminal windows. Every terminal is backed by a multiplexer, so sessions never die; and friends can join those same sessions to collaborate and share compute! The entire app is controllable through a TypeScript API over HTTP. Your agent can create and arrange windows, run commands, and manage the workspace while you observe. It’s also fully pluggable through TypeScript. Plugins can add status-bar widgets, handle events, define context menus, and more... so each workspace can be tailored to its own needs. Follow along here: I use it daily, but it has some rough edges.
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you've never experienced something so boring be so entertaining. i promise.