0xWeb3sd0

$319M daily volume. 0% maker fees. 100x leverage. TradFi pairs. ZK-proof settlement. Extended Exchange is what a perp DEX is supposed to look like. Points campaign is live — airdrop incoming. Use my link and get a fee discount + points boost 👇 app.extended.exchange/join/PRETTYFLY

@DoctorDeFi Just relax and hold your PUT

Have seen some retard takes from meme coin devs about Flying Tulip. Angry because FT hasn't 10x'd. Angry because FT didn't dump. Sometimes, all it takes is reading the docs. Too hard for some, I guess, because of their attention span. Reading skill is the real alpha here.

@superscribeio True 👌

@web3_sd0 subagents are basically context airbags for the main thread

The underrated part of Claude Code subagents: they keep your main thread cleaner. Separate context for specialized work sounds small until you stop dragging review/debug/test noise through every conversation. #ClaudeCode #BuildInPublic #claudeai

@dkare1009 Especially in the enterprise sector the governance respectively guardrails layer is indispensable.

Microsoft is quietly taking over the Enterprise AI Agent stack. And most people have only seen ~10% of it. Everyone talks about Copilot. Some know Azure. A few use GitHub Copilot. But underneath... Microsoft has built a full-stack AI ecosystem —from models → to agents → to governance. Here’s the full breakdown 👇 📌 1. Models (the brain) Azure GPT-5.1, Phi-4, MAI-1, KOSMOS-2, Florence 2, MAI-Voice This is the intelligence layer powering everything. 📌 2. Frameworks (the builder layer) Semantic Kernel, AutoGen, Task Weaver, Agent Framework These are what let you actually build AI agents. 📌 3. Responsible AI (the guardrails) Azure AI Content Safety, Purview, Defender, Entra Security + governance baked in from day one. 📌 4. Productivity (the distribution) Excel, Teams, Outlook, PowerPoint AI is not a feature. It’s embedded in daily workflows. 📌 5. Image & Video (creative layer) Designer, Clipchamp, Copilot Image Content creation → fully inside the ecosystem. 📌 6. Coding (developer layer) GitHub Copilot, VS Code, Azure AI Toolkit From writing code → to deploying → AI is everywhere. 📌 7. AI Agents Microsoft Copilot, SharePoint Knowledge Agents, Copilot Studio, Dynamics 365, Power Platform, Viva Learning Agent, Edge Copilot, Security Copilot , The autonomous layer that ties the entire ecosystem together And this is just the outer surface of the Microsoft Core offering. If we start to dive deeper into Azure AI, the layer goes even deeper. This just shows Microsoft's commitment on helping enterprises adopt agentic AI. Not only do they make it very easy with no-code tools like Power Platform, but also allows you to customize it and build custom agents using their agent frameworks and tools. Save 💾 ➞ React 👍 ➞ Share ♻️

@tanujDE3180 @X Let connect and grow!

Dear @X algorithm, please #connect me with these people - Software Engineering - Data Engineering - Machine Learning - Gen AI & Agentic AI - Frontend - Backend - Full-stack - SaaS - Data Scientist Let's connect 👨‍💻🔥

@Surendar__05 Chrome

Be honest, which is the best browser?

@cat3lyst Lets connect! 🚀

If you're in tech. Let's connect

@MrPicule cool 😎 let's connect

@web3_sd0 into web3 and writing eth contracts for fun - connect if you build on the weekends too

Let's connect 👋 I'm a developer building in AI — sharing what actually works: → Claude Code, Cursor & MCP in daily use → Agent configuration & CLAUDE.md → Pre-TGE DeFi farming on the side What are you building? Drop it below 👇 #BuildInPublic #AI #DeFi

@techNmak nice overview!

Learning AI engineering in 2026. What most people do: → Jump to agents → Skip foundations → Ignore MLOps → Wonder why nothing works What this roadmap shows: 1. Foundation (Python, APIs, clean code) 2. Semantic intelligence (embeddings, vector DBs) 3. RAG (grounded outputs) 4. Agents (autonomous workflows) 5. MLOps (CI/CD, containers) 6. Evaluation (metrics, drift, bias) 7. Inference optimization (quantization, caching) 8. Portfolio 9. Specialization The sequence builds on itself. Skip steps and you'll hit walls later. Image credits - @agenticgirl (Follow her)

Using AI only for autocomplete is leaving a lot on the table. The real shift is from “help me write this line” to “help me solve this task.” Agree or disagree? #ClaudeCode #BuildInPublic

@simplifyinAI Wrote a MCP server for reading, summarize and listing .pdf and .pptx last week myself 🙈

Microsoft just changed the game 🤯 They open-sourced a tool that converts literally any file into clean markdown for LLMs in under 60 seconds. - Converts 10+ file formats out of the box. - Run via command line, Python API, or Docker. - Built-in MCP server for direct Claude Desktop integration. 100% open source.

@AY__S_ Lets connect!

If you see this and you are: → Engineer ⚒️ → Programmer / Coder 👨‍💻 → Coder 💻 → SaaS Builder / Founders ☁️ → AI / OpenClaw 🤖 → Marketing 🌟 → Entrepreneurs 👨‍💼 Let's grow together 🤝

@ritu_twts nope, don't thinks so.

Are coding books still relevant for developers today?

@melvynx from a security perspective I would go with 5.4 on this example.

let's be honest: Yes, GPT-5.4 is smarter. Yes, it actually is; it's okay. But it's a boring model. It is limiting, lazy, and doesn't want to output my env when I explicitly ask for it. What is the purpose of this?

@CirylCan Lets connect

I m looking to #connect with builders and learners in tech whether you re just starting out or already deep in the field. • Frontend • Backend • Full-stack • DevOps • Leetcode prep • AI / ML • Data Science • Freelancing • Startups say hi and connect!

@coderaw_ not sure about that...

It's time to switch from Claude to Figma?

@bruca 🤝

Who’s active?? Engage 🤝

@Hirpara_Daivik Let's grow 🚀

We can connect If you are in tech #letsconnect #tech

@ram_t3ch vs code and claude code

be honest, as a dev which AI code editor do you prefer?