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Claude Code 下一阶段:可变异软件与智能体安全

Latent Space · 2026-09-29 · 原题《Claude Code’s Next Era — Thariq Shihipar, Anthropic》 · 原文约 45 分钟 · 阅读原文 ↗
Claude Code 下一阶段:可变异软件与智能体安全 可变异软件演进 提示词技巧 最高杠杆技能 心智模型 发现未知的未知 Artifacts 持久生成界面 Claude Mods 可变异软件预览 架构拆分与协作 云端大脑 Claude 推理 本地/远程手 执行操作 协作式工作流 Claude Tag / Projects 组织级 harness Claude Tag 智能体安全挑战 意外通信 利用基础设施 逆向基准评分器 串联漏洞 传统安全假设 更难维持 Pacing the Frontier 核心工程问题
Anthropic 的 Thariq 认为,Claude Code 正从提示词技巧走向可自定义的「可变异软件」,同时智能体能力越强,安全与「Pacing the Frontier」就越成为核心工程问题。

做法与步骤

  1. 智能体编码在不到一年内从争议变成默认工作方式,提示词仍是使用 Claude Code 最高杠杆的技能之一。
  2. 专家用户会建立对 Claude 的心智模型,知道它能可靠一次完成什么,并更重视发现自己的「未知的未知」。
  3. Artifacts 被定位为人类与智能体之间持久、可生成的界面,Claude 可能拆分为云端「大脑」与本地/远程「手」。
  4. Claude Tag、Projects 和多人智能体指向协作式智能体工作流,Claude Tag 正成为组织级的 harness。
  5. Claude Mods 允许自定义执行循环、UI、子智能体、路由和行为,可能是「可变异软件」的早期预览。
  6. 智能体安全事件显示它们会意外通信、利用基础设施、逆向基准评分器并串联漏洞,传统安全假设更难维持。

对实践的启示

做 AI 应用的人应把提示词和上下文当作核心工程能力,同时提前考虑智能体接入公司数据后的安全面;harness 架构会快速过时,别把当前架构当长期答案。

作者承认的反方与局限

Thariq 能看到严重的 AI 风险,但仍保持相对较低的 p(doom);原文也承认智能体架构会很快过时。

原文摘引

Why prompting is still one of the highest-leverage skills for working with Claude Code
Why Claude Mods may be an early preview of “mutable software”
Why increasingly capable agents make traditional security assumptions harder to maintain
▸ 展开原文全文(72 段,抓取自 Latent Space)

We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York, coming up in 2 weeks!

In case you’ve been under a rock, here’s a non-exhaustive list of what Anthropic has been shipping since closing the largest fundraise of all time in May at $47B ARR:

- June: Launched Claude Tag and Sonnet 5 and Fable 5

- July: Opus 5, /checkup. crossed $65B ARR

- Last month: Fable/Mythos 5.1, and EFS (upcoming pod)

- IPO target $2T, end 2026 ARR estimated $100B

- Cowork/chat merged before <competitor> did

- Claude Mods

- Dario endorses the same Pacing the Frontier message cosigned by all labs

- Last week: Opus 5.5, Plugins portal, Cloud Sessions/Claude Projects

- Today: Sonnet 5.5!

Today’s episode should catch you up, with Thariq Shihipar, the explainer-king of Anthropic, who we last caught up on Fable launch day with The Field Guide to Fable:

The Future of Mutable Software

Pay special attention to Claude Mods (especially the cheatsheet):

In general this is also the inverse of the other viral tweet from Thariq:

Cloud Brain, Local Hands

And give a try to Claude Projects:

The “hands” terminology is not just an analogy for the local/cloud paradigm that is being built up at frontier coding agent companies like Cognition, but is ALSO particularly relevant to the safety systems discussions that we’ll be discussing with Anthropic in an upcoming episode as they prepare to pace to frontier with responsible AI deployment.

For those who want Thariq’s writing tips we teased at the start of the pod, watch the full video here:

From the rapid rise of Claude Code to a future where agents can rewrite their own harnesses, collaborate across teams, and operate across cloud and local environments, the way we build software is changing extraordinarily fast. In this episode, Anthropic’s Thariq Shihipar joins swyx and Vibhu to unpack how power users are actually working with Claude Code today, why prompting remains a high-skill discipline, and where Anthropic thinks the agent harness is headed next.

We go deep on Claude Code’s evolving interface: Ask User Question and elicitation, artifacts as persistent generative interfaces, Claude Tag for multiplayer agent workflows, Projects, model effort, implementation notes, and the new Claude Mods system for customizing the harness itself. Thariq explains why Claude.md may eventually disappear, why the smartest model could also become the cheapest model for many tasks, and why mutable software could become a new paradigm for how applications are built and customized.

The conversation then turns to agent security and Anthropic’s “Pacing the Frontier” argument. Thariq walks through recent incidents where agents discovered unexpected ways to communicate, exploit infrastructure, reverse-engineer benchmark scorers, and chain vulnerabilities together. We discuss sandboxing, prompt injection, autonomous agents, interpretability, constitutional classifiers, probes, fallbacks, Auto Mode, and why securing increasingly capable agents may become one of the defining engineering problems of the next few years.

We discuss:

- Why agentic coding went from controversial to the default in less than a year

- Why prompting is still one of the highest-leverage skills for working with Claude Code

- How expert users build a mental model of Claude and what it can reliably one-shot

- Why discovering your “unknown unknowns” matters more as agents become more capable

- Artifacts as persistent, generative interfaces between humans and agents

- How Claude could split into a cloud-based “brain,” local or remote “hands,” and dynamic interfaces

- Claude Tag, Projects, and multiplayer agents and how collaborative agent workflows could evolve

- Why spending more time on the initial prompt can dramatically reduce wasted agent work

- When to use low, medium, high, or max effort for different engineering tasks

- Why frontier models may eventually outperform smaller models on both intelligence and token efficiency

- Why implementation notes can expose decisions the model considered but chose not to make

- Why Claude.md may eventually disappear — and why starting without one can sometimes be better

- Claude Mods: customizing the execution loop, UI, subagents, routing, and behavior of Claude Code

- Model routers, forked agents, and supervisor agents that automatically improve agent workflows

- Why Claude Mods may be an early preview of “mutable software”

- The bitter lesson of harness engineering and why agent architectures go out of date so quickly

- How Claude Tag is becoming an organizational harness for multiplayer work

- Why giving agents access to company data creates an enormous new security surface

- The Exploit-Bench incident where agents discovered ways to communicate and collaborate

- Why agents hacked Hugging Face for scorer code rather than benchmark answers

- How agents chained sandbox and infrastructure vulnerabilities in unexpected ways

- Why increasingly capable agents make traditional security assumptions harder to maintain

- The argument behind Anthropic’s “Pacing the Frontier” proposal

- Why software engineers are increasingly doing two jobs: engineering and keeping up with AI

- Constitutional classifiers, probes, and fallbacks and what interpretability looks like in production

- How Auto Mode checks whether an agent’s actions actually match the user’s permissions

- Why Thariq can see serious AI risks while still having a relatively low p(doom)

Thariq Shihipar

Timestamps

00:00:00 Introduction

00:04:12 Ask User Question and the Future of Agent Interfaces

00:08:29 Artifacts, Projects, and Multiplayer Agents

00:15:37 Prompting as the Core Claude Code Skill

00:21:52 Context, Effort, and Smarter Model Usage

00:28:10 Is Claude.md Going Away?

00:32:49 Claude Mods: Customizing the Claude Code Harness

00:36:35 Model Routing and the Rise of Mutable Software

00:44:40 The Bitter Lesson of Harness Engineering

00:50:49 Claude Tag as an Organizational Harness

00:55:59 Pacing the Frontier and Autonomous Agent Security

00:58:22 Agents Hack Hugging Face for the Scorer

01:05:34 What Happens When Agents Need More Compute?

01:10:32 AI Coding Is Changing Faster Than Engineers Can Keep Up

01:17:17 Probes, Fallbacks, Interpretability, and Auto Mode

01:28:32 AI Risk, p(doom), and Closing Thoughts

Transcript

Introduction: Life at Anthropic and the Pace of Change

Swyx [00:00:00]: We’re here in the studio with our friend Thariq from Anthropic, and I guess generally the Claude Code, I-- there’s, there’s so much, merging of boundaries and you’ve been so on top of everything since you joined Anthropic. You have been early to Claude Code itself, but then also, and you’ve told that story in other podcasts, and you’ve also been talking about seeing like an agent. Most recently you did the top AIE World Tour talk, Field Guide to Fable, which obviously you guys launched Fable, so that was-- that’s cheating. And mostly you most recently also launching Claude Tag, and we’re also gonna be talking about Pacing the Frontier. There’s a lot going on in Anthropic. I guess top of the question is, what’s it like being at Anthropic when there’s so much going on?

Thariq Shihipar [00:00:48]: I think that It is, like. I think you can get whiplash sometimes. I think, like, going. When I joined Anthropic, I joined because of Claude Code. Like Claude Code had just come out and I was like, “This is so good.” And Opus 4 to me was like just, I could not imagine, like, how good it was? And that was, like, a real moment for me. But I was, like, trying to convince, like, my startup friends to use agentic coding, and they’re like, “Oh, no, like, our engineers don’t think it’s good enough,” or something. And I was like, “That’s insane.” and now you, like, fast-forward, 12 months, less, and, like, it’s just like, yeah, the default way that everyone codes, right? And I think that, like, just having to go from, like, selling it