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I might have just figured out how to integrate Web Workers with TanStack Table V9... So... multi-threaded TanStack Table coming soon? This would theoretically unlock huge UI performance wins for specific large tables that use heavy client-side computations for filtering, sorting, aggregation, etc. In a normal setup, the UI...

44,178 Aufrufe • vor 3 Monaten •via X (Twitter)

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While working on a new video with solutions to the previous one, I found ChatGPT's new UI struggles even more with concurrent updates: entries lose state and stick around for too long (see video). If this was a LiveView app, we would be getting so much flak.😅 --- I believe part of the problem here is having separate mutate and fetch requests on every deletion. The first fetch is cancelled when the second one comes up, causing items to stick around for longer. Many said yesterday that you could do the mutation and fetch as a single request, but that leads to other problems, such zombie entries. For example, imagine you delete link1 and link2 within a brief period of time. There is no guarantee the deletion order in the database will match the order the client receives the response, so you may end up with this: 1. (client) request to delete link1 sent 2. (client) request to delete link2 sent 3. (server) deletes link1 and loads a new list (includes link2) 4. (server) deletes link2 and loads a new list (no link1 or link2) 5. (client) receives link2 response 6. (client) receives link1 response So if you choose to use the latest response (link1), you brought link2 back to life. If you say you will use the response from the last request, events 3-4 can be swapped, and now you bring link1 back to life. Another way to solve this is by basically not allowing concurrent requests at all but that can affect the user experience drastically in other ways. Next week I should publish a video explaining how LiveView tackles this. Stay tuned!

José Valim

23,050 Aufrufe • vor 2 Jahren

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

31,074 Aufrufe • vor 10 Monaten

(Yes i know the movement is exaggerated, its just to show the motion, it also doeant move like jello when in vr) -Left is before, Right is after- Ok wall of text time for the nerds Literally everything is the same on both sides except the position of 1 bone (made sure that even after adjusting, the collider would still be in the same spot) The reason for this change is because she wanted to be able to clap her ass in vr, and last time i did this all i did was add a toggle for a hidden bone that moved, and its angle would trigger the sound. Which was because that with my previous position, the cheeks could never really meet in the middle when in motion unless you just pushed them together with your hands, and i wanted to just have the sound actually be triggered by them colliding with each other This is also the first time ive used endbones to help drive the movement, so now thanks to that and all my previous experimenting with squishing as well, I can now get bones to move exactly how i want them to move when in natural motion. And i know a lot of people are gonna ask me to teach them how or explain my thought process but i literally just go off feeling lmao. Like, i just kinda visualize in my head how i want the motion to look, and then i just kinda know where to put everything, so im not even sure how to even start explaining rip. I have the things that artist want where they can just make the shit in their head exactly how they envisioned it lol I have a few more ideas i want to try, so we'll see if theyre good enough to get a tweet lol Thank you for coming to my ted talk

Pixel

27,240 Aufrufe • vor 1 Jahr

In light of the Cybercab event this week, here are my expectations: Of course the first official Robotaxi rides in a Cybercab will happen. Good chance it's limited to a certain portion of the geofence, especially for the launch event to avoid any edge cases I think Elon will say a few words. Likely nothing we don't already know - thanking the teams and explaining the importance of and vision for Cybercab Frankly though what happens at the event doesn't matter. It's what the Cybercab service looks like the following day. I think best case scenario would be Tesla having ~25 active Cybercabs operating in Austin for a majority of the operating hours (6A - 10P). I think we all need to be prepared for somehwere around ~5-10 Cybercabs to be active for a week or so after the event and then a slow build from there While we don't know how many active Robotaxis Tesla has in Austin, we can guess it's ~50-75 on any given day. I think increasing that fleet by up to 50% is the most we should be hoping for. I think the survey going around where ~50% of people are expecting > 100 Cybercabs to be deployed is overly optimistic. Not that it can't happen, and I'd love to be wrong, it would just be a stark departure from everything we've seen/heard so far This event shouldn't be viewed as a scaling announcement, but rather a beginning of operations and celebration of the Cybercab. I know Elon said over the weekend Tesla is "about to" flood Austin with Cybercabs, but in his mind that could mean later this year with V15, not this week Given Ashok's recent commentary about why they're going broad instead of deep (more different cities instead of higher fleet volume in each), I'd be more impressed with Cybercab starting operations in the other active Robotaxi cities in the following week or two after the event. To me, that would be a great signal that the validation is going well with Cybercab more generally, not just in the Austin geofence where Tesla has extensive data So while this is a huge milestone (no wheel, no pedals, purpose built for autonomy, cost profile, attention-grabbing design etc.), I'm still not expecting to see hundreds of Robotaxis in Austin or other cities until later this year or early '27 $TSLA

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127,399 Aufrufe • vor 1 Monat