<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vercel on SoloSoft</title><link>https://www.solosoft.dev/tags/vercel/</link><description>Recent content in Vercel on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/vercel/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent Browser: Vercel's Open-Source Browser Automation for AI Agents</title><link>https://www.solosoft.dev/post/agent-browser-vercel-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/agent-browser-vercel-2026/</guid><description>&lt;p&gt;Web automation has been a solved problem for decades — if you are willing to write code. Tools like Playwright, Puppeteer, and Selenium give developers precise control over browser interactions, letting them automate complex web workflows. But these tools require explicit instructions for every action: find this element, click it, wait for navigation, fill this field, submit.&lt;/p&gt;
&lt;p&gt;Agent Browser, from Vercel Labs, reimagines browser automation for the AI era. Instead of writing step-by-step browser scripts, you describe your goal in natural language, and the AI agent plans and executes the browser interactions. The tool combines Playwright&amp;rsquo;s reliable browser control with LLM-powered page understanding and action planning — letting you automate web workflows with the same ease as asking a human assistant.&lt;/p&gt;</description></item><item><title>Streamdown: Vercel's Streaming Markdown Renderer</title><link>https://www.solosoft.dev/post/streamdown-vercel-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/streamdown-vercel-2026/</guid><description>&lt;p&gt;The rise of LLM-powered chat interfaces has created a peculiar user experience problem: watching text appear character by character is exciting, but watching partially rendered Markdown flicker and jump is frustrating. When an LLM generates a code block, a table, or a nested list, standard Markdown renderers cannot handle the incremental arrival of tokens. They wait for the complete output, then render it all at once &amp;ndash; defeating the purpose of streaming. Users stare at raw text until the stream finishes, then the page jumps as everything reformats simultaneously.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Streamdown&lt;/strong&gt; is Vercel&amp;rsquo;s elegant solution to this problem. It is an open-source streaming Markdown renderer specifically designed for LLM-generated content. The key insight is that Markdown rendering must happen progressively: each token should be rendered immediately, elements should appear as they become unambiguous, and the DOM should update incrementally without layout instability.&lt;/p&gt;</description></item></channel></rss>