Shanmugasundaram N @SoftwareDevEnt1

Git pull vs. git fetch

Best Resources to Learn AI in 2026

Frontend libraries I refuse to code without in 2025: 🔶 zod – validation 🔶 react-hook-form – forms 🔶 tRPC + react-query – data sync 🔶 shadcn – UI 🔶 motion – animations 🔶 date-fns – date utils 🔶 zustand – state management 🔶 nuqs – search params 🔶 recharts – charts 🔶 ai – AI toolkit 🔶 react-table – tables (still underrated) Your turn… Which libraries are MUST-HAVE in your stack? Drop your top 3 below.

@buildaditya Nice explaination

So the market believes OpenAI will have the best model Jan 1st but not at the end of 2025..

Claude Code will create branches without following any standard, making Git Flow tracking a mess. This hook validates branch names before creation, blocking anything that doesn't follow Git Flow conventions (feature/, release/, hotfix/). Essential if you want to maintain clean Git Flow practices

Cognition invited SF’s most ambitious builders to push GPT-5, Claude Opus, and Gemini Pro to their limits And they invited @karpathy to pick the very best. Here are the top demos from the Cognition Applied AI Hackathon (🧵):

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🚨 NEW LABS EXPERIMENT 🚨 Introducing Opal, our new way to help you build and share AI mini-apps by linking together prompts, models, and tools— all while using simple, natural language (without a single line of code 🤯) Now available in US-only public beta! Learn more ⬇️ developers.googleblog.com/en/introducing…

Qwen has now passed Mistral and Meta in weekly token share

Claude Code with full visibility into what your agents are doing 👀 npx claude-code-templates@latest --chats Opens localhost:3333 with: • Real-time conversations • Token usage tracking • Tool call details • Session analytics Runs locally = full privacy 🔒 Repo: github.com/davila7/claude… Enjoy ⭐️

R.I.P Perplexity. You don’t need to spend $20/month anymore. You can now turn any LLM like Grok, ChatGPT, DeepSeek, Gemini, or Qwen into a 24/7 research agent. Here’s the exact mega prompt I use to automate all research for free:

extracts data from documents using AI

.@sama : "GPT-5 is the smartest thing. GPT-5 is smarter than us in almost every way." Not sure how @OpenAI researchers here like me should be proud or sad about this. I choose to be proud for the moment. 😆

we'll do something today to help u save some money. but plz, don't open up qwen-code (github.com/QwenLM/qwen-co…) in ur home dir...

Our team @GoogleDeepMind is hiring! You'll join an incredible team passionate about building AGI in the physical world. We're one of the only labs innovating at the cutting edge of both frontier LLMs & humanoids, and we have a ton of fun doing it Apply: job-boards.greenhouse.io/deepmind

If you want to improve your skills as a senior software engineer, read these 11 articles: ↓

𝗔𝗣𝗜 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 An application programming interface (API) is a mediator that enables applications to communicate with each other. Yet, many API protocols can be grouped into four groups: 𝟭. 𝗪𝗲𝗯 𝗔𝗣𝗜𝘀 - are the most common type, facilitating communication between clients and servers over the HTTP protocol. It is mostly used with web services, microservices, and public APIs. 🔹 𝗥𝗘𝗦𝗧 (𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿) is an architectural style for designing networked applications. It relies on stateless, client-server communication and standard HTTP methods. 🔹 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 is a query language for APIs that allows clients to request specific data. It optimizes the retrieval process by fetching only the needed information. 🔹 𝗦𝗢𝗔𝗣 is a protocol for exchanging structured information in web services. It utilizes XML for message format and typically HTTP/HTTPS for transport. 𝟮. 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 protocols enable instantaneous data transmission between clients and servers, ensuring up-to-date information is available as events occur. 🔹 𝗪𝗲𝗯𝗦𝗼𝗰𝗸𝗲𝘁 provides full-duplex communication channels over a single TCP connection, allowing real-time data exchange between client and server. 🔹 𝗦𝗲𝗿𝘃𝗲𝗿-𝘀𝗲𝗻𝘁 𝗲𝘃𝗲𝗻𝘁𝘀 (𝗦𝗦𝗘) allows servers to push real-time updates to the client over a single HTTP connection, providing a simple way to send automatic updates. 𝟯. 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 facilitate the exchange of messages between distributed systems, ensuring reliable and asynchronous communication. 🔹 𝗴𝗥𝗣𝗖 is a high-performance, open-source RPC framework that uses HTTP/2 for transport and Protocol Buffers for serialization. 🔹 𝗔𝗠𝗤𝗣 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) is a standard protocol for message-oriented middleware designed for reliable, secure, and interoperable messaging between systems. 🔹 𝗠𝗤𝗧𝗧 (𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁) is a lightweight messaging protocol optimized for small sensors and mobile devices. It provides efficient communication in constrained environments and is used in IoT, home automation, and mobile messaging. 𝟰. 𝗘𝘃𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 facilitate reactive systems where components respond to events, ensuring decoupled and scalable designs. 🔹 𝗘𝗗𝗜 (𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗿𝗰𝗵𝗮𝗻𝗴𝗲) enables the electronic exchange of business information in standardized formats, streamlining transactions and reducing manual errors. It is mainly used in supply chain management, financial transactions, and healthcare. 🔹 𝗘𝗗𝗔 (𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲) is an architectural pattern in which system components react to events, promoting scalability, decoupling, and real-time responsiveness. #technology #softwareengineering #programming #techworldwithmilan #api

80% or more of your context lives in your database. MongoDB just turned into a first-class context provider. With the new MCP Server, tools like Copilot, Claude, Windsurf, and VS Code can actually understand your data. Until now, LLMs powering Copilot, Claude, or Cursor wrote code in the dark: - No idea what your schema looks like - No clue which fields exist - Zero understanding of your indexes, constraints, or collections So they hallucinated. They sounded confident, but broke at runtime. MCP fixes that. Now AI tools can: 1. Explore collections 2. Read your schema 3. Respect permissions 4. Generate accurate, working queries 5. Even manage admin tasks via natural language If your AI assistant still writes broken queries, it’s not the model. It’s the missing context layer. This fixes it; elegantly. 🔗 Read more here: fnf.dev/4ePrBit Have you tried MCP with Windsurf, VS Code, or Claude? Partnered with @MongoDB on this one. #mongodb

leaking every n8n agent i’ve shared on X 20+ production‑ready flows + a 1,500‑template repo - free to clone inside the drop: - my most popular n8n builds (meta co-pilot agent, X viral scraper agent, tik tok trend minder, b-roll producer and more) - 1,500‑flow n8n template index (tagged by growth, ops, creative) so you never start from scratch - full vibe‑coding tutorial where I go from basic n8n backend to Bolt front‑end UI in 23 min basically everything you need to crush AI automation + vibe coding in one folder. reply "LEAK" + retweet and i'll send it over (must be following so i can dm)

This N8N Agent Does What Your $120K Sales Manager Couldn't While you were paying six figures for inconsistent results, this automation was scraping unlimited prospects and creating detailed research reports that actually closed deals. It doesn't just find leads. It becomes your entire sales intelligence operation. Here's what this N8N automation does: - Scrapes unlimited leads from lead sources - Generates detailed research reports with pain points and solutions - Analyzes LinkedIn profiles, company data and Trustpilot reviews - Finds similarities between you and prospects for personalized outreach - Auto-removes duplicates and organizes everything in Google Sheets - Responds via Telegram with voice or text commands - Works 24/7 without salary, vacation or sick days This isn't ZoomInfo or Apollo with basic filtering. It's a weaponized lead generation machine that actually delivers results. While others pay $120K/year for underperforming sales managers, you'll own this system forever. Comment "N8N" + RT + Like I'll DM you the complete system (Must be following for my AI agent to DM you) Skip this and keep overpaying for mediocre sales performance.