Getting closer and closer to vibe coding video games customized by users. Soon enough we’ll probably just pay for the hardware and have thousands of custom servers or/and games. A sort of elevated Roblox.

imo using ai tools like this is fine as long as it helps the devs (+ it's optional), and it'll get normalized over time anyway, same way AI coding tools went from "bad quality" to "cheating" to standard in just 3 years once people realized how much faster they get things done with itbecause unfortunately whether people wanna accept it or not, we (including game dev studios) either adapt to these tools or get left behind EVENTUALLYand there's a VERY high chance your favorite app, website or game

$8k in 8 days.I live-streamed myself building CNVS.Some days I go for 8 hours. It’s the best vibe coding platform on the planet and no one is even close. I am creating a Mac OS app that is equal parts beautiful ( Liquid Glass, live backgrounds, dynamic agent organization ). And raw power ( voice control with gpt realtime 2 or nvidia parakeet fully local, cross agent memory system, mcp and cli )The platform inspires you to build amazing things.We have been building in the dumpster for too long (

You build stuff and host on GitHub pubically? Paste this into a coding-agent session and point it at your own GitHub account.This is happening way too much. ROTATE YOUR KEYS. Review my public GitHub repositories for accidentally exposed environment secrets.Scope:- Only inspect repositories I own or explicitly authorize.- Focus on public repos first.- Check current files and git history.- Look for API keys, tokens, private keys, database URLs, OAuth secrets, webhooks, cloud credentials, .env file

While ENPIRE w/ @nvidia @_wenlixiao @DrJimFan enables coding agents to explore algorithms and improve policies for a given real-world task, RATs asks: what can agents learn before a human specifies the task?Through curiosity-driven play, agents propose tasks, hill-climb toward solutions, and accumulate reusable, transferable skills. When a human later requests a new task, the agents retrieve and compose these skills to solve it.RATs explores an analogue of pre-training for embodied coding agents

The future of robotics at NVIDIA GEAR Lab 👇 @DrJimFan ENPIRE deploys 8 Codex-based AI coding agents - fully autonomously control a real robot fleet - no humans in the loop.Agents independently run the entire research cycle: scene reset → lit review → skill practice → low-level control iteration → policy training → VLM self-verification → repeat.Result: dexterous successes on zip-tie tying, pin organization, and GPU installation. Strong physical scaling laws, more parallel robots = dramatically