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Chrome I/O 2026: tre direttrici che contano davvero per chi fa frontend

Web MCP, DevTools per agenti e Modern Web Guidance: meno hype, più strumenti e metodo. Negli annunci recenti di Chrome è emersa una cosa interessante: al netto delle novità “appariscenti”, ciò che resta più utile per il lavoro quotidiano è quello che migliora workflow, diagnosi e decisioni tecniche . Tre filoni, in particolare, disegnano una direzione chiara: Web MCP , DevTools per agenti e Modern Web Guidance . Di seguito una sintesi ragionata di cosa significano, perché contano per il frontend, e come prepararsi a sfruttarli. 1) Web MCP: il ponte tra agenti e Web (senza incollaggi fragili) Se stai lavorando con assistenti/agentic workflow, oggi il collo di bottiglia è quasi sempre lo stesso: far sì che un agente capisca e usi le capacità del browser e delle app web in modo affidabile. Web MCP punta a risolvere questo punto creando un linguaggio/protocollo comune per esporre “capacità” (capabilities) e strumenti (tools) che un agente può invocare in modo strutturato, invece di basarsi su prompt lunghi, scraping o integrazioni ad hoc. Perché è importante per chi fa frontend Automazioni più robuste : meno script fragili che si rompono al primo refactor del DOM. Integrazioni più standard : se più strumenti parlano lo stesso “dialetto”, il costo di collegare agenti e applicazioni scende. Esperienze utente nuove : assistenti che completano task complessi dentro l’app (es. compilazioni, ricerca guidata, operazioni amministrative) con maggiore affidabilità. Implicazione pratica Inizia a ragionare sull’app come su un insieme di azioni esplicite (es. “crea ordine”, “esporta report”, “filtra dataset”), non solo come UI. Questa mentalità ti rende pronto a esporre capacità in modo sicuro e controllato, quando lo stack lo renderà semplice. 2) DevTools per agenti: debugging e performance nell’era dell’automazione Se Web MCP è il “ponte”, DevTools per agenti è la cassetta degli attrezzi per controllare quel ponte: osservabilità, diagnosi e iterazione rapida su flussi in cui non è

2026-06-23 原文 →
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Extracting and Organizing Content from Older Websites: A Solution for Structured Documentation Including Mouse-Over Images

Introduction Extracting data from older websites is a technical challenge that goes beyond simple copy-pasting. The example website provided illustrates this perfectly: its outdated design, reliance on mouse-over interactions, and lack of structured export options create a perfect storm of extraction difficulties. This article dissects these challenges and provides a roadmap for extracting both visible content and mouse-over images while preserving data integrity. The Core Problem: Legacy Technology Meets Modern Needs The website's URL parameters ( screen_width=0&screen_height=0 ) immediately signal a legacy system likely built for a bygone era of fixed-width displays. This design choice breaks modern scraping tools that expect responsive layouts. The mouse-over images, critical to the site's content, are dynamically loaded via JavaScript , meaning they don't exist in the initial page source. This requires simulating user interactions to trigger their appearance, a task beyond basic HTML parsing. Why Manual Extraction Fails Attempting to manually save images or copy text from this site is a losing battle. The mouse-over images, for instance, are not directly downloadable – they're embedded in JavaScript events. Even if you could save them individually, maintaining their association with the corresponding visible content would be error-prone and time-consuming. This method also fails to scale for larger websites with hundreds of such elements. The Technical Solution: A Multi-Pronged Approach Effective extraction requires a combination of techniques: Browser Automation: Tools like Selenium or Puppeteer can simulate mouse movements to trigger hover events, capturing both visible and hidden content. This method mirrors human interaction , ensuring all dynamic elements are revealed. Network Request Inspection: Analyzing the website's backend requests using browser developer tools can reveal direct URLs for mouse-over images , bypassing the need for hover simulation. This

2026-06-17 原文 →
AI 资讯

How to Automate Publishing to CSDN and WeChat MP Using Playwright (When APIs Fail)

Overview Today's focus was on automating article publishing to CSDN and WeChat MP (微信公众号) using Playwright, after CSDN deprecated its public Open API. Key achievements include: injecting Markdown content into CSDN's dynamic editor, handling title input quirks, implementing QR code login for WeChat MP, updating the Dev.to API publisher, and consolidating platform configs into a single YAML file. We also fixed session log capture after a Claude Code update changed the log file path. Problems and Solutions 1. CSDN Open API Deprecation → Browser Automation Background : In early 2026, CSDN silently shut down its public Open API. All endpoints returned 404/403. We needed a fallback to keep publishing to China's largest developer platform. Solution : Use Playwright to simulate a real user login and article creation. The approach: Launch a headless Chromium browser. Navigate to CSDN's login page. Perform one-time manual login via QR code. Serialize cookies to csdn_cookies.json . On subsequent runs, load the cookies and skip login. Go to the editor, inject Markdown content via DOM manipulation, fill the title, and click publish. Code snippet : import asyncio from playwright.async_api import async_playwright async def publish_to_csdn ( title : str , content_md : str ): async with async_playwright () as p : browser = await p . chromium . launch ( headless = True ) context = await browser . new_context ( storage_state = " csdn_cookies.json " if exists else None ) page = await context . new_page () await page . goto ( " https://mp.csdn.net/mp_blog/creation/editor " ) # Inject content await page . evaluate ( f ''' () => {{ const editor = document.querySelector( ' .editor-content ' ); if (editor) {{ editor.innerHTML = ` { escaped_content } `; editor.dispatchEvent(new Event( ' input ' , {{ bubbles: true }})); }} }} ''' ) # Fill title await page . fill ( ' #title-input ' , title ) await page . click ( ' button:has-text( " 发布 " ) ' ) await page . wait_for_url ( " **/mp_blog/manage/ar

2026-06-15 原文 →
AI 资讯

I gave your agent access to Firefox - meet Firefox CLI

Firefox CLI is my new project - a CLI interface that lets your agent control your real Firefox session. It's a full equivalent of Agent Browser with the same capabilities, but for Firefox - and with a number of improvements. Why it's better First, you install the extension once and for all. The extension ships right alongside the CLI: install it, grant access, forget about it. Unlike Chrome, where you have to grant connection permissions every half hour and manage debugging sessions - here it's one button and full control. Second, your agents can now create their own separate windows and request your permission to connect on their own. In everything else, Firefox CLI mirrors Agent Browser: token-efficient operation via short IDs , running arbitrary scripts, keypresses, input emulation, form filling, and full tab and window management of your real session - where you're already logged in. Why I built it I used the Comet browser for a long time (on my promo subscription to Perplexity), but it started to let me down. More unnecessary features and ads crept in, it got slower. But the main thing - using Comet as an actual browser during development is extremely inconvenient : there's music you can't turn off, a broken onboarding that was never fixed after months of back-and-forth with support, and a poorly functioning CDP. I switched back to Firefox as my main browser, but losing the ability for agents to control my browser was a huge blow to my workflow. No automation for filling out boring freelance forms, no proper web app testing. I went looking for alternatives, but nothing like Agent Browser for Firefox simply existed. And here's the result :) Installation 1. Install the CLI: npm install -g firefox-cli 2. Install the Firefox extension: firefox-cli setup 3. Install the skill for agents: Claude Code /plugin marketplace add respawn-llc/claude-plugin-marketplace /plugin install firefox-cli@respawn-tools Codex $skill-installer install https://github.com/respawn-llc/fire

2026-06-12 原文 →