आज आप कितने भी बड़े क्यों न हों..कितने भी ऊंचे पद पर क्यों न हों..कितने भी ज्ञानी क्यों न हों..कितने भी अमीर क्यों न हों..कितने भी लोकप्रिय क्यों न हों...मर्यादित व्यवहार,तमीज़दार भाषा,विनम्र स्वभाव के बिना आप असल में कुछ भी नहीं..खोखले हैं...और अपने दिखावे के दम पर आप कुछ समय तक तो मज़े कर सकते हैं पर आपका अहंकार आपको लंबे समय तक कुछ रहने नहीं देगा... #PrideComesBeforeAFall
Say hello to unmetered intelligence on Windows with new on-device SLMs, Aion 1.0 Instruct and Aion 1.0 Plan, and the expansion of Windows AI APIs to more Windows 11 PCs across CPUs and GPUs.
AI video editors can't edit what isn't indexed. Learn how a developer used Gemma 4 31B locally on a 5-year-old laptop to process and index a year of raw, unlabeled video, making it fully searchable. A great look at building local-first tools.
3 React Native hooks that will make your life easier 🧠
👉 Use useKeyboardHandler to track keyboard height frame-by-frame on the UI thread
👉 Use useLastNotificationResponse to handle notification deep links on cold start
👉 Use useFocusEffect to refetch data every time you navigate back to a screen
We’re transforming Google Antigravity into a scientific workbench. The new Science Skills bundle allows researchers to run complex workflows like protein analysis in minutes using specialized Alpha* models and 30+ major scientific databases.
Introducing React Native Doctor
Find performance and security bugs in your mobile app
Run via CLI and fix with agents. Fully open source
npx react-doctor@latest
You may have heard about OpenClaw – the most viral open source project of the year.
It's an agent and messaging gateway that lets you automate digital tasks through platforms like Discord.
In this course, you'll learn how it works along with key security practices like using Docker-based sandboxing to protect your host system while your agent executes complex workflows.
https://t.co/Z8t8nLhi3T
everyone in iOS development should watch this. seriously, it might change the whole industry.
i pointed claude code at a live ios device running on revyl, typed "test everything," and walked away.
here's what's actually happening:
① you don't write the tests.
no scripts, no selectors, no test plan. i never told it which screens to open or what to check. it read the app, decided what mattered, and tested it. the entire instruction was "test everything."
② it built its own test team.
it looked at the app, clocked that it's basically four mini apps (rides, delivery, services, account), and split itself into 4 agents, one per surface. scoping coverage like that is usually a person's whole afternoon. it did it in seconds, unprompted.
③ all four ran at the same time, each on its own live device.
this is where revyl comes in. every agent gets its own live ios session in the cloud, so four running apps get tested in parallel instead of taking turns on one simulator. serial testing turns coverage into a time tax. running all of it at once removes the tax.
④ it tests like a person, not like a script.
each agent drives the app the way a user would, taps through the flows, and visually checks each screen against what it expected to see. nothing is pinned to a brittle element id, so renaming a button doesn't take down half your suite. that one detail is the most annoying thing about how we test today, and it just quietly goes away.
⑤ no xcuitest, no sims melting your laptop.
i didn't write a single xcuitest script, and there were no simulators booting on my machine. the agents run on cloud devices, so coverage stops being capped by what your laptop can handle.
the part that got me isn't that an agent tested an app. it's that i never told it how. i handed it a device and an intent, and it figured out the scoping, the parallelizing, and the driving on its own.
if you still write and maintain mobile ui tests by hand, i'm not sure that lasts the year.
AI apps don't always need to send data to a server.
In this guide, @Timi471 shows you how to run machine learning right in the browser with TensorFlow.js and WebGPU.
You'll build an image classifier and benchmark browser AI performance across CPU, WebGL, and WebGPU.
https://t.co/nn4IywaDoW