Introducing Maestro, PHP's First AI Coding Agent

🚨𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE. It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together. It's called AgentScope. You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system. Not a wrapper. Not a chatbot builder. A full Agent-Oriented Programming framework that thinks in agents from the ground up. Here's what it does out of the box: → Visual agent builder so you design your entire system before writing a single line of code → Native MCP tool support, plug any external tool directly into any agent in your pipeline → Built-in memory so every agent remembers context, decisions, and history across sessions → RAG pipeline ready to connect your own documents, databases, and knowledge bases → Reasoning modules that let agents plan, reflect, and self-correct without human input → Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls Here's how it thinks: You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output. A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable. Here's the wildest part: AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for. 100% Open Source. Apache 2.0 License. Repo Link In Comments 👇

Every language you use was built by a real human being. 🧠 These 9 people changed the world with code. Meet the founders of modern programming 👇 ⚫ 𝗗𝗲𝗻𝗻𝗶𝘀 𝗥𝗶𝘁𝗰𝗵𝗶𝗲 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗖 ∟ The father of modern programming 👑 ∟ C is the foundation of almost every OS ever built ∟ Without Dennis Ritchie — none of this exists ⚡ 𝗕𝗷𝗮𝗿𝗻𝗲 𝗦𝘁𝗿𝗼𝘂𝘀𝘁𝗿𝘂𝗽 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗖++ ∟ Took C and added object-oriented programming ∟ Powers game engines, browsers & operating systems ∟ Still one of the fastest languages ever written 🚀 🔵 𝗔𝗻𝗱𝗲𝗿𝘀 𝗛𝗲𝗷𝗹𝘀𝗯𝗲𝗿𝗴 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗖# ∟ Built C# at Microsoft in 2000 ∟ Also created TypeScript — used by millions today ∟ One of the most quietly influential developers alive 💪 ☕ 𝗝𝗮𝗺𝗲𝘀 𝗚𝗼𝘀𝗹𝗶𝗻𝗴 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗝𝗮𝘃𝗮 ∟ "Write once, run anywhere" — his vision ∟ Java still powers billions of Android devices 📱 ∟ One of the most used languages 25+ years later 🌐 𝗕𝗿𝗲𝗻𝗱𝗮𝗻 𝗘𝗶𝗰𝗵 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 ∟ Built JavaScript in just 10 days in 1995 😱 ∟ Now the most popular language in the world ∟ Powers every interactive website you've ever used 🐘 𝗥𝗮𝘀𝗺𝘂𝘀 𝗟𝗲𝗿𝗱𝗼𝗿𝗳 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗣𝗛𝗣 ∟ Started as a set of personal scripts in 1994 ∟ Grew into the language powering 80% of the web ∟ WordPress, Facebook & Wikipedia all ran on PHP 🌍 💎 𝗬𝘂𝗸𝗶𝗵𝗶𝗿𝗼 𝗠𝗮𝘁𝘀𝘂𝗺𝗼𝘁𝗼 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗥𝘂𝗯𝘆 ∟ Designed Ruby to make developers happy 😊 ∟ "Optimized for developer joy" — his exact words ∟ Ruby on Rails changed web development forever 🐍 𝗚𝘂𝗶𝗱𝗼 𝘃𝗮𝗻 𝗥𝗼𝘀𝘀𝘂𝗺 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 ∟ Wanted a language that was simple & readable ∟ Python is now the #1 language for AI & data science 🤖 ∟ The most beginner friendly language ever created 🐪 𝗟𝗮𝗿𝗿𝘆 𝗪𝗮𝗹𝗹 — 𝗖𝗿𝗲𝗮𝘁𝗲𝗱 𝗣𝗲𝗿𝗹 ∟ Created Perl in 1987 for text processing ∟ Influenced PHP, Python & Ruby directly ∟ The grandfather of modern scripting languages 📜 Every time you write a line of code — you're standing on the shoulders of these giants. 🏔️ They didn't just write code. They built the tools that built the world. 🌍 Which language do you use daily? 👇 Drop it in the comments! Save this 🔖 — share it with every developer who needs to know this. Follow for daily tech history & coding content. 💡 #Programming #Python #JavaScript #Java #PHP #Tech #Coding #SoftwareEngineering #ComputerScience #Developer

AI won't replace senior developers, but it will change how we refactor. My new article explores the balance between trusting AI tools like Copilot and maintaining architectural integrity in modern PHP projects. Stop merging "clever" code you can't explain. Start curating it. Read the full story: https://lnkd.in/eP6jGUsu #programming #php #AI #refactoring #development #copilot

🚨 BREAKING: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE. It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together. It's called AgentScope. You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system. Not a wrapper. Not a chatbot builder. A full Agent-Oriented Programming framework that thinks in agents from the ground up. Here's what it does out of the box: → Visual agent builder so you design your entire system before writing a single line of code → Native MCP tool support, plug any external tool directly into any agent in your pipeline → Built-in memory so every agent remembers context, decisions, and history across sessions → RAG pipeline ready to connect your own documents, databases, and knowledge bases → Reasoning modules that let agents plan, reflect, and self-correct without human input → Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls Here's how it thinks: You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output. A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable. Here's the wildest part: AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for. 100% Open Source. Apache 2.0 License.👇

🚀 JavaScript Learning Series – Understanding Some Basic Terms First Before we start learning JavaScript, it’s important to understand a few basic programming terms. These terms will help us better understand how JavaScript works. 1️⃣ What is a High-Level Language? A high-level language is a programming language that is easy for humans to read and write. It uses simple and understandable syntax compared to low-level languages like machine code. Examples: JavaScript, Python, Java. 2️⃣ What is an Object-Oriented Programming Language? Object-Oriented Programming (OOP) is a way of writing programs using objects. Objects contain data and functions together. For example, a Car object can have: • properties → color, model • methods → start(), stop() 3️⃣ What is an Interpreted Language? An interpreted language runs code line by line instead of compiling the entire program before execution. JavaScript is interpreted by the JavaScript engine inside the browser. 4️⃣ What is a Synchronous Language? Synchronous execution means code runs one step at a time in order. The next line of code runs only after the previous line finishes. Example: console.log("Step 1") console.log("Step 2") console.log("Step 3") Output: Step 1 Step 2 Step 3 Each line waits for the previous one to complete. 5️⃣ What is a Single-Threaded Language? JavaScript is single-threaded, which means it can execute one task at a time. It has only one call stack to process code. Even though JavaScript is single-threaded, it can still handle asynchronous operations using mechanisms like the event loop (which we will learn later). 💡 Understanding these concepts will make it easier to learn how JavaScript works internally. 📌 In the next post, we’ll finally answer the main question: What exactly is JavaScript and why do we need it? ❓ Quick question: Do you think JavaScript is an interpreted language or a compiled language? Share your answer in the comments. #JavaScript #Programming #WebDevelopment #FrontendDevelopment #LearnToCode

If anyone is interested in developing their skills in Full-Stack Development, a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill: 🔹 Start with the Basics Build a strong foundation in HTML, CSS, and JavaScript before jumping into frameworks. 🔹 Master One Backend Language Choose one language like Python (Django/Flask) or Node.js and understand it deeply instead of learning everything at once. 🔹 Work on Real Projects Create projects like portfolios, e-commerce websites, or management systems to gain practical experience. 🔹 Understand Databases Learn how to design and manage databases using MySQL, MongoDB, or PostgreSQL. 🔹 Learn Git & Version Control Use GitHub regularly to manage code and showcase your work. 🔹 Focus on Problem-Solving Improve your logic and coding skills through consistent practice. 🔹 Stay Consistent Even 1–2 hours daily can make a huge difference over time. 🔹 Keep Learning Technology evolves fast—stay updated with new tools and trends. 🚀 Remember: Consistency and practical implementation matter more than just theory. #FullStackDevelopment #WebDevelopment #Python #Django #Learning #Developers #Coding

🚨𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE. It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together. It's called AgentScope. You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system. Not a wrapper. Not a chatbot builder. A full Agent-Oriented Programming framework that thinks in agents from the ground up. Here's what it does out of the box: → Visual agent builder so you design your entire system before writing a single line of code → Native MCP tool support, plug any external tool directly into any agent in your pipeline → Built-in memory so every agent remembers context, decisions, and history across sessions → RAG pipeline ready to connect your own documents, databases, and knowledge bases → Reasoning modules that let agents plan, reflect, and self-correct without human input → Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls Here's how it thinks: You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output. A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable. Here's the wildest part: AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for. 100% Open Source. Apache 2.0 License. Repo Link below 👇 https://lnkd.in/dMyvGMzu

🚀 FlaskApp — A Beginner-Friendly Flask Starter Project I recently built FlaskApp, a simple web application designed to help beginners understand the fundamentals of web development using Flask (Python). This project focuses on core concepts every beginner should learn when starting with backend development. 🔎 What This Project Covers: • Routing and URL handling • HTML templates with Jinja2 • Form handling using POST requests • SQLite database integration • Flash messages for user feedback • Post/Redirect/Get pattern • Template inheritance (base.html) • Clean project structure • Admin panel to view submissions 💡 How It Works: Users can fill out a contact form → The form data is sent to the server → Flask processes it → Data is stored in a SQLite database → A flash message confirms successful submission → Admin can view all submitted messages. This project is intentionally kept simple and well-structured so beginners can clearly understand how backend logic connects with frontend templates. 🎯 What You’ll Learn From It: • Flask fundamentals • Web routing concepts • Working with templates (Jinja2) • Handling forms safely • Connecting Python with a database • Organizing a real-world project structure Perfect for students and aspiring developers starting their web development journey. If you're learning Flask or backend development, this is a great hands-on starting point. #Python #Flask #WebDevelopment #BackendDevelopment #Programming #Beginners #Learning

Eid Mubarak Stop writing changelogs manually, if you even write them :) I built a custom Claude Code command that auto-generates two files from your git history: CHANGELOG.md for your dev team - What changed technically between versions - Grouped by: Added, Changed, Fixed, Removed - Great for code reviews, onboarding new devs, and for LLM/AI tools to check the progress and what actually changed RELEASE_NOTES.md for your users & stakeholders. - Same changes, but written in plain language - Ready to paste into App Store, Google "What's New" instead of writing Fixes, Bug Fixes, New Changes :) - Share with clients, PMs, or your team chat How it works: 1. Reads your git diffs since the last update 2. Detects your project version automatically (Flutter, Node, PHP, .NET, Python, Rust — any stack) 3. Generates both files in seconds One command: /auto-changelog Grab it here and drop it into `~/.claude/commands/`, `~/.cursor/commands/`, or ask the AI agent to import it by itself. https://lnkd.in/deHYE7Ua You are free to update the prompt! #ClaudeCode #Cursor #DeveloperTools #Productivity #Changelog

AI is revolutionizing the way we code, but is it making us better developers? As a MERN stack developer, I'm intrigued by the idea of using AI to code 10x faster. With tools like GitHub Copilot, we can automate repetitive tasks and focus on high-level problem-solving. But what does this mean for our skills and expertise? Are we losing touch with the fundamentals of programming? What's your take on AI-assisted coding - is it a game-changer or a crutch? . . . . #MERNstack #AIforDevelopers #JavaScript #FullStackWebDevelopment #CodeQuality