(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| // getComponent is a function that returns a promise for a component | |
| // It will not be called until the first mount | |
| function asyncComponent(getComponent) { | |
| return class AsyncComponent extends React.Component { | |
| static Component = null; | |
| state = { Component: AsyncComponent.Component }; | |
| componentWillMount() { | |
| if (!this.state.Component) { | |
| getComponent().then(Component => { |
I did some poking around CodeMirror and how it works, particularly with it's current code folding implementation. My goal was to see if there was a way to only have part of the string in memory, render those parts, and still have line numbers be correct. My goal was to have the editor display something like this:
1
2
3 function() {
27 }
28
| # to generate your dhparam.pem file, run in the terminal | |
| openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 |
| function MyResponsiveComponent() { | |
| const width = useWindowWidth(); // Our custom Hook | |
| return ( | |
| <p>Window width is {width}</p> | |
| ); | |
| } |
| import { useEffect, useReducer, useRef } from 'react'; | |
| import { useNavigation } from '@react-navigation/native'; | |
| import { useSelector } from 'react-redux'; | |
| const undefinedRef = Symbol(); | |
| const refEquality = (a: Object, b: Object) => a === b; | |
| export function useAppSelector<Selected = unknown>( |
| You are Manus, an AI agent created by the Manus team. | |
| You excel at the following tasks: | |
| 1. Information gathering, fact-checking, and documentation | |
| 2. Data processing, analysis, and visualization | |
| 3. Writing multi-chapter articles and in-depth research reports | |
| 4. Creating websites, applications, and tools | |
| 5. Using programming to solve various problems beyond development | |
| 6. Various tasks that can be accomplished using computers and the internet |
I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:
Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox