{
    "status": "success",
    "data": {
        "id": 4084345,
        "pageId": 4139887,
        "title": "Debugging a Regressed Lighthouse Score: What Tencent EdgeOne Makers Taught Me About Edge-Level Image Optimization",
        "url": "/weiterlesen/4084345/4139887/debugging-a-regressed-lighthouse-score-what-tencent-edgeone-makers-taught-me-about-edge-level-image-optimization/",
        "sourceUrl": "https://dev.to/rynn_80369fb0681d1e364532/debugging-a-regressed-lighthouse-score-what-tencent-edgeone-makers-taught-me-about-edge-level-2e5l",
        "sourceDomain": "dev.to",
        "publisher": "DEV Community",
        "author": "Rynn",
        "category": "\ud83d\udd27 Programmierung",
        "publishedAt": "2026-09-15 11:35:16",
        "readingMinutes": 1,
        "summary": "A few weeks ago I was optimizing the Lighthouse performance score of a Laravel + Livewire + Tailwind + Vite landing page. The starting score was 66, and the target was anything above 90. Like most performance work, the biggest villain turned out to be images \u2014 specifically, how the hero image and its responsive variants were being served. The... Weiterlesen",
        "content": "<p>A few weeks ago I was optimizing the Lighthouse performance score of a Laravel + Livewire + Tailwind + Vite landing page. The starting score was 66, and the target was anything above 90. Like most performance work, the biggest villain turned out to be images \u2014 specifically, how the hero image and its responsive variants were being served. The... <a href=\"https://dev.to/rynn_80369fb0681d1e364532/debugging-a-regressed-lighthouse-score-what-tencent-edgeone-makers-taught-me-about-edge-level-2e5l\" target=\"_blank\" rel=\"noopener nofollow\">Weiterlesen</a></p>",
        "isYoutube": false,
        "youtubeVideoId": null,
        "isPodcast": false,
        "mediaUrl": null,
        "isGitHub": false,
        "githubRepo": null,
        "githubTag": null
    }
}