⚡️ Web Performance Artisan at @perfreviews_ | @GoogleDevExpert in #WebTech | @cloudinary Ambassador

Girona, Catalunya
One thing I’m experimenting with for a performance audit: Using RUM data + @debugbear MCP to build synthetic tests based on how the product is actually used RUM → real user behaviour → MCP → representative synthetic tests debugbear.com/docs/mcp #WebPerf #RUM #MCP
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Thank you to @andrey_sitnik for the @evilmartians sticker ☺️
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And thank you to @carlesnunez too for the @framer sticker ☺️
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Joan León 🏞️⚡️ retweeted
La #GeeksCAT2026 ja és història, i quina història! ⚡ Sala plena a L'Estació Espai Jove, 10 ponències d'altíssim nivell tècnic, debats sans i retrobaments amb la comunitat tecnològica a Girona. Obrim fil amb el resum i agraïments 👇🧵 #GeeksCAT #Girona
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Joan León 🏞️⚡️ retweeted
Una xarrada de @carlesnunez de rendiment, de les que li agraden al nostre company @nucliweb ☺️ #GeeksCat #GeeksCatConf
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Joan León 🏞️⚡️ retweeted
We gave Claude Opus 5.5 an article we wrote a few months ago and asked it to turn it into an animation.👇 📖 The Anatomy of a Web Performance Report calendar.perfplanet.com/2025… Thanks for the idea, @addyosmani ! #AI #ClaudeAI #WebPerf
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Joan León 🏞️⚡️ retweeted
Claude Opus 5.5 drew each frame of this animation in JavaScript. Here's "how browsers work" in 40 seconds.
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Joan León 🏞️⚡️ retweeted
AI Reporting Workflow ✨ Turn one WebPerformance Report into: → UX & SEO Audits → Benchmarks → Cross-report correlations → Executive summaries → Tickets & tasks → And much more WPR Report → AI → Insights → Action Use ChatGPT, Claude, or Gemini. Link in comments 👇
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Joan León 🏞️⚡️ retweeted
🎇 I made a small Chrome extension: a side panel that drives any site's WebMCP tools with Jev! When you type, on every keystroke it picks the relevant page's tool, fills in the arguments, and tells you how sure it is. Here it is grocery shopping:
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The case against JPEG XL Investigating JPEG XL's place as a Web image codec, by Gianni Rosato, via @WebPerfReport giannirosato.com/blog/post/c… #JPEGXL #JXL #ImagePerf #WebPerf
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Kodak images are old film based images with blur, film grain and lack of resolution. The corpus was then scanned from film to digital using the scanner technology from late 1980s or very early 1990s. This is not a way to benchmark modern codecs. If you compare with a high quality digital corpus you will get different numbers.
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Thanks for the feedback and clarification, that’s helpful context!
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Joan León 🏞️⚡️ retweeted
Kodak images are old film based images with blur, film grain and lack of resolution. The corpus was then scanned from film to digital using the scanner technology from late 1980s or very early 1990s. This is not a way to benchmark modern codecs. If you compare with a high quality digital corpus you will get different numbers.
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Joan León 🏞️⚡️ retweeted
Reminder: Claude Code can test if a skill or plugin actually improves Claude's answers. > claude plugin eval init Tell Claude what a good result looks like in your plugin's folder and it writes the test cases for you. > run claude plugin eval .
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Joan León 🏞️⚡️ retweeted
🔮 Built a real-time click prediction right over the DOM using JEV that feels like a crystal ball. Powered by jev-latest to predict the next clickable element and intent in 345ms per check, highlighting candidate elements on screen. It's extremely cheap to use and helps predict user intention, hitting 83% accuracy in testing. Usages that come to my mind: - Web performance optimization via predictive resource load - UX Research and testing - Progressive UI loading based on intention - Accessibility for reduced motor precision (highlight based on intention allowing to click, for example) - And probably many more...
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Joan León 🏞️⚡️ retweeted
⚡Featured posts this week: ✨ New ad metrics in CrUX: @alextcone ✨ The case against JPEG XL: Gianni Rosato ✨ Why Spotify Is Not Using Bayesian A/B Testing: Mattias Frånberg, Mårten Schultzberg ✨ International SEO: Barry Adams 🙏 Special thanks to the authors! #webperf
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🔮 He construido una predicción de clic en tiempo real sobre el DOM usando JEV que parece una bola de cristal. Funciona con jev-latest para predecir el siguiente elemento clicable y la intención del usuario en 345 ms por consulta, resaltando los candidatos en pantalla. Es extremadamente barato de usar y ayuda a anticipar la intención del usuario con un 83% de acierto en las pruebas. Usos que se me ocurren: - Optimización del rendimiento web mediante precarga predictiva de recursos - Investigación y pruebas de UX - Carga progresiva de la interfaz según la intención - Accesibilidad para personas con precisión motriz reducida (resaltar según la intención y permitir el clic, por ejemplo) - Y seguramente muchos más...
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🤩 Solo digo: Speculation Rules API, preload, prefetch, preconnect. Con esas ideas, ojo que @PerfReviews_ no te quiera fichar ☺️
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Joan León 🏞️⚡️ retweeted
Agent: *screenshots the page* Agent: *scrolls* Agent: *screenshots again* Agent: *clicks the wrong button* Agent: *screenshots again* Page with WebMCP: hi, here are the 4 things you can do here, with descriptions Agent: oh thank god
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Joan León 🏞️⚡️ retweeted
Modern Web Guidance v0.0.187 brings new and updated guides and Codex plugin support → goo.gle/4harAXQ ✨ New guides: progress rings, scrollspy nav menus, loading spinners 📝 Updated guidance to avoid bfcache breakage and unwanted inline layout gaps 🔌 Added plugin manifest support for Codex
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Joan León 🏞️⚡️ retweeted
10,000 installs and counting! 📈 We created Modern Web Guidance to bring web platform expertise right into your agent workflows. Have you tried pairing these skills with Chrome DevTools for agents to audit performance and automatically fix code? Check it out and join 10K+ web developers who are coding smarter → goo.gle/4yEVz1h
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