Introducing @@ — @@ for Mac

@@ for Mac — Your AI agent in any text field

Type @@ anywhere on your Mac and work with your agent without leaving the field.

luca. ∆ИƉЯƐΛ on Twitter / X

People keep saying AI coding agents can only build basic, cookie-cutter apps. I decided to prove them wrong.For my first major public demo, I spent some time pushing @Replit 's AI agent to its absolute limit. The result? I rebuilt macOS entirely on the web. No templates. No… pic.twitter.com/0DNTDpp0aA— luca. ∆ИƉЯƐΛ (@agi2asi) March 4, 2026

On Programming with Agents

From the Zed Blog: Agents handle typing so we can focus on thinking.

raullenchai/Rapid-MLX

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

raullenchai/Rapid-MLX

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

Code execution with MCP: building more efficient AI agents

Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

Pietro on Twitter / X

Recently, Anthropic https://t.co/v9hnbaLCmG and Cloudflare https://t.co/JBb6SexF8N released two blog posts that discuss a more efficient way for agents to interact with MCP servers, called Code Mode.There are three key issues when agents interact with MCP servers traditionally:… pic.twitter.com/hfUocpe6kV— Pietro (@pietrozullo) November 20, 2025

MacPaw Partners with Liquid AI to Bring On-Device AI to Millions of Mac Users — Blog

MacPaw partners with Liquid AI to bring private, fast, on-device AI to millions of Mac users, starting with the Eney assistant for macOS.

Apple working on MCP support to enable agentic AI on Mac, iPhone, and iPad

With today’s rollout of developer betas, Apple began to lay the groundwork for adopting Anthropic’s protocol for agentic AI.

Introducing Mu language model and how it enabled the agent in Windows Settings

We are excited to introduce our newest on-device small language model, Mu. This model addresses scenarios that require inferring complex input-output relationships and has been designed to operate efficiently, delivering high performance while runnin

Agentic autofix for code scanning alerts in public preview - GitHub Changelog

Fix code scanning alerts faster with agentic autofix.

AppleScript-8B & AppleScript-16B: Small Models That Actually Drive Your Mac — Osaurus

Two open models that turn plain-English requests into working macOS automation — on-device, tool-calling, quantized for Apple Silicon.

AppleScript-8B & AppleScript-16B: Small Models That Actually Drive Your Mac — Osaurus

Two open models that turn plain-English requests into working macOS automation — on-device, tool-calling, quantized for Apple Silicon.

The unreasonable effectiveness of HTML — examples

When you're not sure what you want yet. Ask the agent to fan out across several directions and lay them next to each other so you can point at one — instead of reading three sequential walls of text and trying to hold them all in your head. And once you've picked, turn the pick into a plan the implementer can actually read.

Introducing the Codex app

Introducing the Codex app for macOS—a command center for AI coding and software development with multiple agents, parallel workflows, and long-running tasks.