惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Y
Y Combinator Blog
D
Docker
有赞技术团队
有赞技术团队
D
DataBreaches.Net
The GitHub Blog
The GitHub Blog
爱范儿
爱范儿
H
Help Net Security
美团技术团队
MyScale Blog
MyScale Blog
B
Blog RSS Feed
C
Check Point Blog
Microsoft Security Blog
Microsoft Security Blog
阮一峰的网络日志
阮一峰的网络日志
A
About on SuperTechFans
小众软件
小众软件
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
GbyAI
GbyAI
G
Google Developers Blog
月光博客
月光博客
Google DeepMind News
Google DeepMind News
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Blog — PlanetScale
Blog — PlanetScale
MongoDB | Blog
MongoDB | Blog
F
Fortinet All Blogs

Sanity.io

A Board Game agent built using Sanity Context and Vercel's AI SDK | Sanity Build a prototype with Claude Code that your whole team can edit | Sanity What’s New - May 2026 | Sanity I built a London pub guide with v0 and the Sanity MCP in six hours. Here's what I learned. | Sanity Build a conference concierge with Agent Context and Anthropic | Sanity Build a content-aware Telegram agent with Vercel AI SDK and Chat SDK | Sanity How I used Agent API to generate photos for my family’s recipes | Sanity What’s New April - 2026 | Sanity Better context, better matches: An AI love story (for dogs) | Sanity How to write for an agent | Sanity Content Agent, meet Slack: AI content operations in your workflow | Sanity Structure powers intelligence | Sanity Your agent needs better content. Here's how to give it. | Sanity How to serve content to agents (a field guide) | Sanity Sanity TypeGen GA: Automatic TypeScript types for content and GROQ | Sanity Sanity is now available on the Vercel Marketplace | Sanity The logo soup problem (and how to solve it) | Sanity Content Releases: From scattered updates to coordinated publishing | Sanity What's New - February 2026 | Sanity How we solved the agent memory problem | Sanity v0 Builder Challenge: The winners | Sanity Introducing: Sanity Agent Skills | Sanity Content Agent: Days of work in one conversation | Sanity Our Sanity Values | Sanity Open Source Pledge 2025: Stepping up when it matters | Sanity v0 builder challenge: $3000 in prizes | Sanity Why AI Breaks Without Structured Content Operations | Sanity What’s New January - 2026 | Sanity BFCM 2025: What teams built when infrastructure stopped being the problem | Sanity How AI shaped holiday shopping and what it means for content in 2026 | Sanity
The future beyond AI chat bots | Sanity
Simeon Griggs · 2025-03-15 · via Sanity.io

I first saw today's guest Maggie Appleton give a talk at React Advanced London in 2021. She discussed the importance of visuals in understanding paradigms in programming. You should watch it.

Code && Content Podcast

This is a recap of one episode of the Code && Content podcast, head to the show page to find out more and subscribe on YouTube or the podcast player of your choice.

Subscribe

I left that talk so motivated that the future of developer education would be visual, not just text. I watched it again recently and was floored by how the landscape has changed in the years since.

It's remarkable just how significantly the landscape has changed thanks to AI tooling and how pretty much every AI tool you use is text-based. You type (or dictate) text into a text box, send it to a black box, and get a text-based response.

So, I wanted to talk to Maggie about this current, future area that is heavily text-based. Are user interfaces going to disappear entirely? And when it comes to education, how much do we really understand about what we're able to build?

And how misleading is the discourse that we are only going to operate in a text-based future when there are so many industries outside of development that require user interfaces or are very much controlled by their environment to get work done.

These AI tools are allowing folks to build things that they would not have been able to before, or at least not in the same timeframe. Use tools they're not familiar with, languages they don't understand. Is the cost of all of this that we are less discerning developers as a result? If we let the tool do all the work and contain all the knowledge, is it important for us to understand what the machine is doing—or is it more important for us just to become better "prompt engineers?"

It is exciting to imagine a future where these AI tools are less about black boxes that depend on text input and might actually be able to educate us about the decisions that they've made and the reasons that they take the actions that they do. An AI tool that not only builds what you want but is able to teach you the benefits of building the way it did would be a great way to have your cake and eat it, too. To create new things faster than ever but also increase your own knowledge so that with each project, your ambition only grows.

This is the second episode in my post-AI cynicism era. It's time to get on board and build.