Dan Shipper

NEW: i wrote a complete technical guide to building agent-native software (co-authored with claude) it covers: - the five pillars of agent native design (parity, granularity, composability, emergent capability, self-improvement) - files as the universal interface - agent execution patterns with code samples - mobile agent patterns - advanced patterns like dynamic capability discovery if you want to take full advantage of this moment, it's worth your time: https://every.to/guides/agent-native?source=post_button…

I just showed the team our 2026 roadmap. I got so psyched that I wanted to share it with you too. Here's our full 2026 strategy.

new from me on @every: opus 4.5 blew me away this week. i built fully featured reading companion app that i now use every day, in between meetings without looking at the code. two things that are important: - we just reached a new level of autonomous coding. you've been able to one-shot an impressive app demo for a while now with any frontier model. opus 4.5 is the first model that just keeps coding and coding without running into endless loops of errors. - prompt-native apps are now possible. opus 4.5 can now act as a general-purpose agent INSIDE your app, to power many of your features. this turns building features into an exercise in writing prompts—instead of writing code. it's the same paradigm claude code uses but now available for non-coding usecases. more on @every here: https://every.to/chain-of-thought/opus-4-5-collapsed-six-months-of-development-work-into-one-week…

Our full vibe check of Gemini 3 Pro now live on @every

i for one welcome the return of internet writing as a coveted and highly valued skill in startup circles jump in y’all, the water’s warm

when technology is changing incredibly fast optionality is a competitive advantage

My 2026 AI predictions podcast with @reidhoffman—LinkedIn cofounder, Microsoft board member, and former OpenAI board member: Reid’s spiciest predictions: - If you’re not recording every single meeting and using agents to amplify your work process, it’s going to feel like using a horse and buggy vs. a car. - AI becomes the scapegoat for everything—electricity prices, eggs, jobs. Most blame will be wrong, but some real impacts will also start hitting. This will make the discourse uglier. - No major AI player will have a major stumble. It will continue being a close horse race. But OpenAI will learn how to play catch up instead of always playing with a lead. - 10x to 100x more people will have their computer doing work for them while they’re out doing other things—agents break out beyond coding. - Apple continues to be behind in AI and the gap will be “stunning.” Dan’s spiciest predictions: - Programming trifurcates into three skills: traditional engineering + AI, vibe coding, and a new third thing—agentic engineering (think highly technical engineer with 4 Claude Code tabs open at once, never looking at code). - OpenAI realizes it is missing the most valuable coding market because they’re stuck in the innovators dilemma: caught between serving traditional engineers + AI, or agentic engineers. - Creation becomes the new addiction as the dopamine hit of making things with Claude Code and other tools starts to spread. AI commandments that are most likely to be broken this year: - Interpretability: We’ll allow models to communicate with each other in non-human readable formats, and it will work.—Reid - Alignment: We’ll realize that more disagreeable AI that forms its own opinions are quite useful as autonomy increases. This will be more likely as orchestrators get better—the orchestrator can deal with the pain-in-the-ass model, instead of the user.—Dan Reid’s pick for most underrated AI category in 2026: Biology. There’s a chance we find a “move 37” in bio this year. Watch below! Timestamps: Introduction: 00:00:52 The future of work is an entrepreneurial mindset: 00:02:20 Creation is addictive (and that’s okay): 00:05:22 Why discourse around AI might get uglier this year: 00:09:22 AI agents will break out of coding in 2026: 00:17:03 What makes Anthropic’s Opus 4.5 such a good model: 00:24:18 Who will win the agentic coding race: 00:28:46 Why enterprise AI will finally land this year: 00:36:13 How Reid defines AGI: 00:43:16 The most underrated category to watch in AI right now: 00:55:33

Here are my 2026 predictions for how AI will change software: - An agent-native software architecture. Most new software will just be Claude Code in a trench coat—new features are just buttons that activate prompts to an underlying general agent. - Designers get superpowers—and become superstars. When software is cheap to build, designers become powerful. They can finally make anything they want without waiting on engineers—and if you can make a beautiful experience you’ll stand out in a sea of vibe coded apps. - Agentic engineering becomes a new discipline. There is a new skill of software engineering emerging that is different from vibe coding and different from traditional engineering that uses AI. It is truly AI native engineering from professional developers who don’t ever look at or write code. They’ll be the most productive category of engineer in 2026, it will become a new discipline in itself. - AI training that indexes on sense of self. To achieve true autonomy, AI agents will need to run for long stretches of time without constant supervision—and to this end, we’ll see new training approaches that focus on giving agents their own sense of self, goals, and directions—we’ll start to hit the limits of people-pleasing, sycophantic AIs. Want more? I sat down with @every COO @bran_don_gell to trade our 2026 predictions and reflect on @every’s banner year. If you want to know what comes next watch below. Timestamps: Introduction: 00:01:05 Reflections on Every’s growth over the past year: 00:01:34 What changes when a company grows from 20 people to 50: 00:09:38 How “agent-native architecture” will change software in 2026: 00:11:55 Why designers are slated to become power users of AI: 00:17:13 The new kind of software engineer that will direct AI agents: 00:23:24 Why the next wave of AI training will focus on autonomy: 00:33:42

is it possible to be addicted to vibe coding i feel like im approaching unhealthy levels

we’re hiring a head of storytelling @every apply here: https:// modern-ton-234.notion.site/Head-of-storyt elling-2a7ca4f355ac809bb3c9e7720ba853a1?pvs=74 …

BREAKING NEWS: @OpenAI built a browser. It launches today and it's amazing. We got our hands on it today @Every for early testing and here's our vibe check: • ChatGPT built INTO the browser, not bolted on—it’s a sidebar on any webpage that can do read and write in any text field you have open • It’s an agent that execute multi-step tasks autonomously (booking movie tickets, shopping for Bibles, drafting emails with calendar conflicts) • It has a memory system tracks where you browse and what you do—surfaces suggestions based on your context • Available TODAY for Plus, Pro, AND Free tier users (MacOS only now, Windows/mobile coming) • The closest comp is @diabrowser , but Atlas ships with agent mode that Dia hasn't launched yet @OpenAI is clearly going for a full consumer play here. In our testing, Atlas feels less like learning something new than a browser that has caught up to how I already want to work with AI. The AI browser wars are heating up.

we're only building agent-native apps @every now here's what that means: traditional software architecture: you write code that defines what happens. The computer executes your instructions. agent-native architecture: you define outcomes in natural language. the agent figures out how to achieve them using tools. in an agent-native world, features are prompts not code. good agent-native architectures have the following characteristics: - parity. anything the user can do in the app, the agent can do. - granularity. features are prompts, not tools. the agent has access to tools that are more atomic than features so a few tool calls are composed into a single feature. - composability. this enables composability: the agent can combine tool calls in new ways easily. this allows developers to move faster—and allows users to customize the application more easily with prompts. all of the above enables emergent capability in your app—it can do things you didn't plan for. this allows you to discover latent demand from your users that inform your roadmap. this a core way that @bcherny builds features in Claude Code—which is architected with all of the above characteristics

we have a rare role opening @every: we're looking for a new GM of @TrySpiral our AI writing partner. spiral is on a crazy growth trajectory, and if you're an AI-pilled engineer who's loves great writing you should apply. see more about the role here: https://modern-ton-234.notion.site/GM-of-Spiral-2d1ca4f355ac80fd9531ffb2e5376a8b?pvs=143…

every 6-12 months a model drops that truly shifts the paradigm Opus 4.5 launched today, and that's what it is. best coding model i've ever used, and it's not close. we're never going back https://every.to/vibe-check/vibe-check-opus-4-5-is-the-coding-model-we-ve-been-waiting-for…

we just shipped Sign in with @Every on our first app unified identity coming for the rest of the ecosystem soon :)

Karpathy is a national treasure, protect him at all cost