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How to Steal Any React Component
How to Steal Any React Component
Steal any component from a production React website without source code - using React Fiber and LLMs to reconstruct working components.
·fant.io·
How to Steal Any React Component
Streaming JSON in just 200 lines of JavaScript
Streaming JSON in just 200 lines of JavaScript
Streaming JSON in just 200 lines of JavaScript / I was continueing my exploration of React server components when I stumbled upon on this article about progressive JSON. Dan Abramov describes a technique for streaming JSON from a server to a client in chunks, allowing the client to start rendering parts of the data before the entire payload has been received. This can significantly improve perceived performance, especially for large datasets. So, I started wondering how much of an effort it would be to implement something like that. It turned out a fun exercise, and I ended up with a small (200loc) library called Streamson. So, this post is about how I built it.
·krasimirtsonev.com·
Streaming JSON in just 200 lines of JavaScript
Sharing data with Client Components
Sharing data with Client Components
Use promises to provide data from Server Components to the client tree, without blocking the rest of the page.
·next-16-recipes.vercel.app·
Sharing data with Client Components
Introducing: React Best Practices - Vercel
Introducing: React Best Practices - Vercel
We've encapsulated 10+ years of React and Next.js optimization knowledge into react-best-practices, a structured repository optimized for AI agents and LLMs.
·vercel.com·
Introducing: React Best Practices - Vercel
Building programmable QA with AI
Building programmable QA with AI
What’s one of the biggest challenges with using AI for QA? It’s the lack of programmability. We set out to find a solution by pairing Playwright MCP with several different LLM models. Find out where we landed.
·thoughtbot.com·
Building programmable QA with AI
markdown - RDoc
markdown - RDoc
Markdown Reference This document is the comprehensive reference for Markdown support in RDoc. It covers all syntax, extensions, and formatting option
·ruby.github.io·
markdown - RDoc
Stan Lo (@st0012.dev)
Stan Lo (@st0012.dev)
RDoc has always supported Markdown as a markup language. But its support was buggy and lacks documentation. After a year of addressing various related issues, I was able to rewrite a doc for it. I think we'll soon be able to migrate from RDoc to Markdown. https://ruby.github.io/rdoc/doc/markup_reference/markdown_md.html
·bsky.app·
Stan Lo (@st0012.dev)
@nateberkopec.bsky.social
@nateberkopec.bsky.social
I'm routinely asked about "automatic N+1 solving" libraries for Rails, which essentially try to manipulate `includes()` calls for you. I don't recommend them. IME, missing `includes` is only ~10% of the actual N+1s I see in the wild. And, includes() isn't always optimal!
·bsky.app·
@nateberkopec.bsky.social
Introducing GPT-5.2-Codex | OpenAI
Introducing GPT-5.2-Codex | OpenAI
The most advanced agentic coding model for professional software engineering and defensive cybersecurity.
·openai.com·
Introducing GPT-5.2-Codex | OpenAI
vercel-labs/agent-skills
vercel-labs/agent-skills
Contribute to vercel-labs/agent-skills development by creating an account on GitHub.
·github.com·
vercel-labs/agent-skills
First impressions of Claude Cowork, Anthropic’s general agent
First impressions of Claude Cowork, Anthropic’s general agent
New from Anthropic today is Claude Cowork, a “research preview” that they describe as “Claude Code for the rest of your work”. It’s currently available only to Max subscribers ($100 …
·simonwillison.net·
First impressions of Claude Cowork, Anthropic’s general agent
textonly/git-prime: Minith Primus
textonly/git-prime: Minith Primus
Minith Primus. Contribute to textonly/git-prime development by creating an account on GitHub.
·github.com·
textonly/git-prime: Minith Primus
Checkend/checkend
Checkend/checkend
Contribute to Checkend/checkend development by creating an account on GitHub.
·github.com·
Checkend/checkend
Comments Considered Harmful in the Age of LLMs
Comments Considered Harmful in the Age of LLMs
Instead of writing code comments that decay and mislead, let LLMs generate documentation on-demand and fail the build when code is too obscure for them to explain.
·yegor256.com·
Comments Considered Harmful in the Age of LLMs