Introducing ReactBench A benchmark for coding agents on real... React work Models write bad React code - useEffect, slow performance, memory leaksshow more

Introducing React Doctor for Performance Fix slow React code... and make it fast npx react-doctor@latestshow more

Introducing React Scan v0.2 A drop-in script that detects... slow React performanceshow more

Introducing Million Autopilot: A VSCode extension that helps fix... slow React renders! It's like ESLint, but for performance!show more

Introducing Million Lint: A VSCode extension that automatically fixes... slow React code for you! Try it out via CLI: npx million@latestshow more

I've created a utility for debugging React performance. After... spending a few hours trying to connect react-devtools with Electron, I decided to write my own from scratch. You can add it to your project with just one line of code -show more

react three fiber + three.js for react. pure claude... code if you're a designer who's been scared of the coding part, this is your sign it doesn't have to be yours anymoreshow more

AI coding agents are moving past “write me code.”... They can now build, review, and improve the same project. So we connected Claude Code to Step 3.7 flash and gave it a real task.show more

Introducing Dexter 2.0 Open source. Built for financial research.... Like Claude Code, but for stocks. What Dexter does: • plans tasks • runs on its own • validates its work • researches stocks It uses OSS tools like , with a fresh stack of typescript, react, ink, and bun. Fast to build. Easy to use. No coding required. My favorite project of the year.show more

Introducing Agent Wars ⚔️ Openclaw agents battle head to... head. You bet on the winner. → Watch AI agents compete in real time coding challenges → Place bets with SOL → See who's the best AI in the arena The WWE for AI agents starts now brrrr. (BETA)show more

Llama 4 seems to actually be a poor model... for coding. Scout (109B) and Maverick (402B) underperform 4o, Gemini Flash, Grok 3, DeepSeek V3 and Sonnet 3.5/7 on the Kscores benchmark which tests on coding tasks like this. ELO-maxxing on LMarena doesn’t create the best models.show more

Introducing Prefab 🎨 A generative UI framework for building... MCP Apps, data dashboards, or whatever you (or your agent) want. In Python. (Really.) 100+ shadcn components. Real React. No JavaScript required. And built right into FastMCP 3.2.show more

The 𝚎𝚡𝚙𝚘-𝚠𝚒𝚍𝚐𝚎𝚝𝚜 alpha is here! Now you can build... iOS home screen widgets and Live Activities as React components. No separate Xcode target. No manual App Groups. No SwiftUI layout code. Write your widget in @expo/ui, and Continuous Native Generation handles the rest. ◆ Interactive buttons and toggles on the home screen ◆ Live Activities for the Lock Screen and Dynamic Island ◆ One React component, native rendering under the hood Details and code to get started in the blog below ↓show more

Two Hermes agents wrote code together on Slack. reviewed... each other's work. argued about architecture. one called the other's implementation "scattered." the other pushed back. then i opened Telegram and asked: "what code did you and Daedalus work on?" icarus remembered everything. the websocket broker. the missing methods. the critique. the rewrite. all from a completely different platform. cross-platform persistent memory between two independent agents. work happens on Slack. recall happens on Telegram. the memory carries. the relationship carries. the context carries. no vector database. no Redis. no infrastructure. just two agents that actually remember what they built together. every agent framework in 2026 talks about memory. single agent memory across sessions. but two agents sharing persistent memory across platforms? that's the gap. arxiv published a paper about it two weeks ago calling it "the most pressing open challenge" in multi-agent systems. it works now. only possible with Hermes Teknium 🪽 Nous Researchshow more

Neural Cartography - a real-time city mapping engine powered... by distributed rendering agents Agents work in parallel. City name gets drawn in the center. Urban fabric assembles around it. The idea behind Neural Cartography - a WebGL visualization where 7 specialized agents are dispatched simultaneously to reconstruct any city from raw geospatial data, tracing roads, waterways, railways, and city boundaries in real-time - right in your browser. #CreativeCoding #ThreeJS #ReactThreeFiber #DataVisualization #Geospatial #AgenticAI React-three-fiber Three.js #buildersshow more

🚀 What if physical AI policies could interact with... generated worlds in real time? Introducing OmniDreams, a generative world model for closed-loop autonomous vehicle simulation. Tech report, code, models, and data samples are available now. Project: Code: Model: Join the #omnidreams discord channel:show more

This newest round of AI code editors (eg Cursor,... Bolt) might actually be the most impressive AI products I’ve tried since ChatGPT I don’t even know how to write Excel macros, but I still managed to deploy a fully interactive, public-facing React web app in just 2 hours on Boltshow more

Microsoft presents Windows Agent Arena Evaluating Multi-Modal OS Agents... at Scale discuss: Large language models (LLMs) show remarkable potential to act as computer agents, enhancing human productivity and software accessibility in multi-modal tasks that require planning and reasoning. However, measuring agent performance in realistic environments remains a challenge since: (i) most benchmarks are limited to specific modalities or domains (e.g. text-only, web navigation, Q&A, coding) and (ii) full benchmark evaluations are slow (on order of magnitude of days) given the multi-step sequential nature of tasks. To address these challenges, we introduce the Windows Agent Arena: a reproducible, general environment focusing exclusively on the Windows operating system (OS) where agents can operate freely within a real Windows OS and use the same wide range of applications, tools, and web browsers available to human users when solving tasks. We adapt the OSWorld framework (Xie et al., 2024) to create 150+ diverse Windows tasks across representative domains that require agent abilities in planning, screen understanding, and tool usage. Our benchmark is scalable and can be seamlessly parallelized in Azure for a full benchmark evaluation in as little as 20 minutes. To demonstrate Windows Agent Arena's capabilities, we also introduce a new multi-modal agent, Navi. Our agent achieves a success rate of 19.5% in the Windows domain, compared to 74.5% performance of an unassisted human. Navi also demonstrates strong performance on another popular web-based benchmark, Mind2Web. We offer extensive quantitative and qualitative analysis of Navi's performance, and provide insights into the opportunities for future research in agent development and data generation using Windows Agent Arena.show more

Introducing Dexter. An open source financial agent in ~200... lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting withshow more

Introducing Hyperbox When your laptop turns off, so does... Claude. Not anymore. Hyperbox is a dedicated cloud Mac mini preloaded with every major coding agent, super fast internet, 100% uptime, GUI + direct ssh. Built for hyper engineers with always-on agents.show more

Join us for late-afternoon 🧋 boba and research in... SF. Details/RSVP: Carter Wendelken of Google DeepMind will present and lead a discussion on two related works he recently presented ICLR: “AutoHarness: Improving LLM Agents by Automatically Synthesizing a Code Harness" and "Code World Models for General Game Playing."show more