Jerry Liu(@jerryjliu0)

Maybe one of the only moats in 2026 is the context layer. AI improvements mean: ✅ UI/UX might simpl...

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Maybe one of the only moats in 2026 is the context layer.

AI improvements mean:
✅ UI/UX might simpl...

TL;DR · AI 摘要

2026年的竞争壁垒可能是上下文层,AI改进将简化UI/UX并巩固代理抽象。

核心要点

  • 上下文层可能成为2026年的重要竞争壁垒
  • AI改进将简化UI/UX设计
  • 代理抽象正在巩固

结构提纲

按章节快速跳转。

  1. 2026年的竞争壁垒可能是上下文层。

  2. AI改进将简化UI/UX设计并巩固代理抽象。

  3. UI/UX设计将更加简洁,减少复杂的按钮和旋钮。

  4. 代理抽象正在巩固,不再需要频繁重新发明。

  5. 用户越来越多地使用英语而非代码进行编程。

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • 上下文层的重要性

金句 / Highlights

值得收藏与分享的关键句。

#AI#UI/UX#代理抽象
打开原文

AI improvements mean: ✅ UI/UX might simplify and consolidate. Instead of a lot of fancy buttons/knobs, you need simple, clean interfaces where agents can do an e2e task, and you can see the outputs. ✅ Agent abstractions" / X

Maybe one of the only moats in 2026 is the context layer. AI improvements mean: Image 1: ✅ UI/UX might simplify and consolidate. Instead of a lot of fancy buttons/knobs, you need simple, clean interfaces where agents can do an e2e task, and you can see the outputs. Image 2: ✅ Agent abstractions are solidifying, and there’s no need to constantly reinvent the harness layer. Though there is still value in deterministic code. Image 3: ✅ Users are programming increasingly in English instead of code. What’s not clear: Image 4: ❓ What the tool layer looks like. AI can vibe-code software extremely quickly, but it’s inefficient to code everything from scratch - clearly it still imports libraries and uses MCP tools. Image 5: ❓ Related to the above, whether you need *a lot* of targeted tools and subagents, or agents just need a few tools (sandbox, web search, skills files), and can do everything else. Image 6: ❓ Whether SaaS companies can monetize with e2e agents What is clear though is that every agent does need context, and some ways to read and operate over that context (in 2023 it was naive RAG, in 2026 it’s file sandboxes). This includes everything from systems of record, to web context, to document context (us). I talk about this and other hot takes in this

podcast. I am sure 50% of my takes will be wrong within the next year, but I do think that my core assumptions about the importance of the context layer will continue to hold.