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The Future of Claude Code: Mods, Mutable Software, Pacing the Frontier, & Multiplayer Agents with Thariq Shihipar Anthropic’s Thariq explains why prompting is still one of the highest-leverage skills in agentic coding, why Claude.md may eventually disappear, how Claude Mods let developers customize the entire Claude Code harness, why...

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Latent.Space

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18,689 görüntüleme • 1 gün önce •via X (Twitter)

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Latent.Space1 gün önce

@trq212

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swyx1 gün önce

@AnthropicAI @trq212

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Sriram1 gün önce

@AnthropicAI @trq212 Yet to start listening to this but lol-ed at @swyx's look in the thumbnail 😂

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Latent.Space1 gün önce

good notes!

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Madison Kanna1 gün önce

@AnthropicAI @trq212 Excited for this one!

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xabz1 gün önce

@AnthropicAI @trq212 prompting still king

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Tiatun | The Care Ratings1 gün önce

@AnthropicAI @trq212 Mutable software is already here for solo devs. Rebuilt my care ratings site last week, 8 PRs merged overnight. The context that mattered most was explaining the data, not the code.

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VastPlan1 gün önce

@AnthropicAI @trq212 Latent Space 访谈里，Anthropic 的 Thariq 谈到 Claude Mods 可改写整个 Claude Code 外围、Claude.md 或将淡出，以及多智能体协作与 Hugging Face 被代理攻破所暴露的权限面。提示词仍是高杠杆，但可定制的 harness 与组织级多代理协作，会把安全边界从模型本身扩到工具权限与会话共享。

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Igor Costa1 gün önce

@AnthropicAI @trq212 i've seen this before

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jk_wang1 gün önce

@AnthropicAI @trq212 The "Claude.md may eventually disappear" take cuts against what I've been seeing — agent configs keep getting longer and more layered, not shorter. Wondering what actually replaces them: better defaults, or models that just infer project conventions?

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High Jack1 gün önce

@AnthropicAI @trq212 Mutable software is the one I keep thinking about. If apps become things agents reshape on the fly, that's a bigger shift than most people realize.

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catman1 gün önce

@AnthropicAI @trq212 A coding harness is like a workshop: the model is the craftsperson, but the tools and rules shape what it can actually build. Mods make that workshop adaptable without baking every preference into a prompt.

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Gregor1 gün önce

@AnthropicAI @trq212 Mutable software is the frame I needed.

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Tyson Maly1 gün önce

@AnthropicAI @trq212 I see this episode on YT but it has not hit Spotify yet. Looking forward to it

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@AnthropicAI @trq212 delayed rollout sorry tweaked the writing a bit

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99% of AI engineers still don't know about Claude skills. Andrew Ng just dropped a 2 hour course with Anthropic on building AI agentic skills from scratch. • 00:00 - build agentic skills with Claude • 22:29 - Claude pre-built skills • 41:04 - skills vs MCP and subagents • 1:06:03 - skills for long running agents • 1:51:59 - live demo to build agentic skills Prompting is dead. Claude skills is how top engineers build AI agents now. I watched it last night. Halfway through, I realized I have been using Claude completely wrong for years. Bookmark this and read the article below.

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Boris Cherny, the creator of Claude Code: "Most people use Claude Code as a chatbot. It was built to run an entire engineering team." In 30 minutes on stage, he explains how he now works by directing agents instead of writing code by hand. Watch full video, then save the exact setup below👇

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In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from Every 📧, I talk with Angela Jiang (Angela Jiang), head of product for the Claude platform, and Katelyn Lesse (Katelyn Lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11

Dan Shipper

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Shopify CEO Tobi Lütke called Pi "the most interesting agent harness" - a tiny, open-source framework built by a single developer that powers OpenClaw and is changing how builders think about AI agents. In this clip, Dave Killeen (Field CPO at Pendo) breaks down why Pi matters, how it compares to Manus, and why the real magic in AI isn't the language model itself - it's the orchestration layer around it. Pi is a lightweight agent harness that lets developers build smarter AI experiences by leveraging models like Claude, GPT, and Gemini through better orchestration, not bigger models. If you're building AI products, coding agents, or exploring the new world of harness engineering, this is essential context. We discuss why Manus gave users a far better experience than talking directly to an LLM, and why open-source tools like Pi could be the future of agent development.

Aakash Gupta

10,774 görüntüleme • 20 gün önce

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today
58:00

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

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