South Korea has the world’s highest manufacturing robot density.
1,220 robots per 10,000 employees in 2024
Growing 7% annually since 2019
(source: IFR)
I got great results by (1) using pi coding agent - i often see a 20x fdifference with code cli whoch is more token hungry
(2) using an advisor strategy. See https://platform.claude.com/docs/en/agents-and-tools/tool-us...
I use GPT-5.3-Codex-Spark for all tasks and it will ask help to GPT-5.5 when the task is complex enough (3) using rtk
openclaw fills the gap left by Siri and was built with tight integration with Apple ecosystem.
this how i understand the hype for something like openclaw vs the capabilities provided by zapier or n8n for years now.
i would say a majority of users are tech and non tech roles, who
(1) have an iPhone with all their contacts and data on iCloud
(2) have a macbook at work and use macOS daily
(3) use ChatGPT or Claude daily and trust it with their personal data
(4) aren't familiar with Linux or a VPS and don't trust themselves with setting it up through the terminal
(5) feel more at ease with a "a second macOS that i can debug visually on my monitor at home" rather than a remote linux VPS
you could still rent a mac mini but cloud providers will ask you $119 a month for a Mac mini M4 with 16GB of RAM. $599 is unbelievably cheap for a second computer with which you can do anything you can do on your usual Macbook
I am surprised to see very few setups leveraging LSP support. (Language Server Protocol)
It has been added to Claude Code last month.
Most setups rely on naive grep.
As prices increase we will see more of these tools to optimise and make the best use of token budget