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Browsers should do CSS layout off the main thread! 🤓 Top left: Ladybird (work in progress) Others: Chrome, Safari, Firefox

Andreas Kling

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61,633 Aufrufe • vor 13 Tagen •via X (Twitter)

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Work in progress, but this is so fucking cool I just have to share.. I'm moving the entire CSS pipeline off the main thread in Ladybird. This allows us to animate any CSS properties we want and they just keep going smoothly despite heavy JS execution! Video demo is animating a bunch of flex and grid layouts while JS churns on the main thread. Same demo in Chrome for comparison. Welcome to the future, bros 😎

Work in progress, but this is so fucking cool I just have to share.. I'm moving the entire CSS pipeline off the main thread in Ladybird. This allows us to animate any CSS properties we want and they just keep going smoothly despite heavy JS execution! Video demo is animating a bunch of flex and grid layouts while JS churns on the main thread. Same demo in Chrome for comparison. Welcome to the future, bros 😎

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🟢 News: GPU compute in the browser is finally real. WebGPU now ships by default in Chrome, Firefox, Safari, and Edge—not a polyfill, not behind a flag. You can run LLMs client-side. Transformers.js and ONNX Runtime already ship WebGPU backends. Eight years of spec work. No more asterisks. 🔗 #WebGPU #GPU #Chrome #Safari #Firefox #Edge

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100% css 0% javascript Pretty cool that you can run animations like this now off the main thread, was always a worry implementing a scroll animation knowing some users might see "jank" Safari and Firefox are sleeping far too long, scroll driven animations are awesome

100% css 0% javascript Pretty cool that you can run animations like this now off the main thread, was always a worry implementing a scroll animation knowing some users might see "jank" Safari and Firefox are sleeping far too long, scroll driven animations are awesome

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I moved CSS transform and opacity animations off the main thread in Ladybird and I just love it so much 🤩 Now we can chew on all that JS framework bloat while elements fade in and fly around smoothly!

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we just added Apple Pay support in Chrome and non-Safari browsers on Dodo Payments. you can now use Apple Pay on desktop too. it opens a QR popup, you scan it with your iPhone, and pay. no Safari required. most payment providers still haven't shipped this. they're stuck on older Apple Pay versions that only work in Safari. we updated to the latest spec and built the cross-browser flow from scratch. this is live now for all merchants. no integration changes needed.

we just added Apple Pay support in Chrome and non-Safari browsers on Dodo Payments. you can now use Apple Pay on desktop too. it opens a QR popup, you scan it with your iPhone, and pay. no Safari required. most payment providers still haven't shipped this. they're stuck on older Apple Pay versions that only work in Safari. we updated to the latest spec and built the cross-browser flow from scratch. this is live now for all merchants. no integration changes needed.

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you can create a sticky navbar that morphs when you scroll with pure CSS, no JS or animation libraries required 𝚑𝚎𝚊𝚍𝚎𝚛 { 𝚌𝚘𝚗𝚝𝚊𝚒𝚗𝚎𝚛-𝚝𝚢𝚙𝚎: 𝚜𝚌𝚛𝚘𝚕𝚕-𝚜𝚝𝚊𝚝𝚎; 𝚙𝚘𝚜𝚒𝚝𝚒𝚘𝚗: 𝚜𝚝𝚒𝚌𝚔𝚢; 𝚝𝚘𝚙: 𝟶; } @𝚌𝚘𝚗𝚝𝚊𝚒𝚗𝚎𝚛 𝚜𝚌𝚛𝚘𝚕𝚕-𝚜𝚝𝚊𝚝𝚎(𝚜𝚝𝚞𝚌𝚔: 𝚝𝚘𝚙) { .𝚗𝚊𝚟-𝚋𝚊𝚛 { 𝚖𝚊𝚡-𝚠𝚒𝚍𝚝𝚑: 𝟻𝟼𝚛𝚎𝚖; 𝚋𝚘𝚛𝚍𝚎𝚛-𝚛𝚊𝚍𝚒𝚞𝚜: 𝟶.𝟽𝟻𝚛𝚎𝚖; 𝚋𝚊𝚌𝚔𝚐𝚛𝚘𝚞𝚗𝚍: 𝚛𝚐𝚋(𝟸𝟻𝟻 𝟸𝟻𝟻 𝟸𝟻𝟻 / 𝟶.𝟿𝟸); } } the browser now knows when a sticky element is stuck, all triggered by one container query available only in chromium browsers only, no firefox or safari which is a shame

you can create a sticky navbar that morphs when you scroll with pure CSS, no JS or animation libraries required 𝚑𝚎𝚊𝚍𝚎𝚛 { 𝚌𝚘𝚗𝚝𝚊𝚒𝚗𝚎𝚛-𝚝𝚢𝚙𝚎: 𝚜𝚌𝚛𝚘𝚕𝚕-𝚜𝚝𝚊𝚝𝚎; 𝚙𝚘𝚜𝚒𝚝𝚒𝚘𝚗: 𝚜𝚝𝚒𝚌𝚔𝚢; 𝚝𝚘𝚙: 𝟶; } @𝚌𝚘𝚗𝚝𝚊𝚒𝚗𝚎𝚛 𝚜𝚌𝚛𝚘𝚕𝚕-𝚜𝚝𝚊𝚝𝚎(𝚜𝚝𝚞𝚌𝚔: 𝚝𝚘𝚙) { .𝚗𝚊𝚟-𝚋𝚊𝚛 { 𝚖𝚊𝚡-𝚠𝚒𝚍𝚝𝚑: 𝟻𝟼𝚛𝚎𝚖; 𝚋𝚘𝚛𝚍𝚎𝚛-𝚛𝚊𝚍𝚒𝚞𝚜: 𝟶.𝟽𝟻𝚛𝚎𝚖; 𝚋𝚊𝚌𝚔𝚐𝚛𝚘𝚞𝚗𝚍: 𝚛𝚐𝚋(𝟸𝟻𝟻 𝟸𝟻𝟻 𝟸𝟻𝟻 / 𝟶.𝟿𝟸); } } the browser now knows when a sticky element is stuck, all triggered by one container query available only in chromium browsers only, no firefox or safari which is a shame

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I’m just gonna leave some links in the comments to my work here. Help me move on from this corporate grind so I can do a daily writing grind. Pretty please. Today was a rough day at work. Like… it should have been an amazing day. The dumbass woman that I have purposefully left behind in different roles keeps popping up like a zit that’s infected.

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If order to hit a big league fastball your brain needs to decide to pull the trigger roughly 25 feet from the ball reaching the plate…. In order to do that, your eyes must be oriented at a spot 25 feet to your left for a righty or 25 feet to your right if you are a lefty…. This begs the question what is the point of hitting off of a tee?…The body will never work the same vs a live ball…. Look how different Mike Trout looks when hitting off of a tee vs hitting a live ball…Watch his left arm and left shoulder do completely different things. The right forearm supinates vs an overhand pitch but it pronates vs the tee…. It’s a function of where the biceps inserts onto the radius. There isn’t a hitter on earth that will use the same swing mechanics off of a tee as they will vs an overhand pitch.

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this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

Avid

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