#Angular Developer

Angular 20 is out 🔥 Follow ➡️ @coder_aishya ⭐for more such content Turn on post notification 🔔 for updates Till then Happy Coding 👩🏻‍💻 !!! [coderaishya, html, css, javascript, angular, reactjs,angularjs,frontend, meanstack, mernstack, meandeveloper, javascriptdeveloper, merndeveloper, rxjs webdevelopment, webdeveloper, coding, coder, frontenddevelopment, frontenddeveloper, softwaredeveloper, programmer ] Hastags: #coderaishya #html #html5 #css #css3 #javascript #javascriptdeveloper #angular #angularjs #angularlearning #masterangular #angularmaterial #angulardeveloper #typescript #reactjs #frontend #frontenddeveloper #softwaredeveloper #webdeveloper #programming #coding #programmer #coder #webdevelopment #meanstack #meanwebdevelopment #mernstack #mernstackdevelopment #rxjs #reactiveprogramming

✅ Dependency Injection in Angular 🔥 #angular #angularjs #javascript #javascriptdeveloper #reactjsdevelopment #reactjs #devlife #webdevlife

Some good frontend tools I use & recommend to you ☺️ do you also have additional tools? 😇

AngularJS Roadmap… In this reel I explained the complete AngularJS / Angular Roadmap.Beginners can clearly understand how components, services, routing, and API integration work in real applications. Comment “Angular” for Complete Document... . . . #angular #angularjs #frontenddeveloper #typescript #webdevelopment #spa #uiux #apidevelopment #fullstackdeveloper #javascriptdeveloper #instagram #codingreels #techreels #learnwithme #itjobs #techcontent #ʀᴇᴇʟsɪɴᴅɪᴀ #explorepage #foryou #frontenddevelopment #softwareengineer #explore #angulardeveloper #instagood #viral #trending

Comment “Agentic” to get the resources! People talk. We delivered. One project. 23 tools you can master. And the greatest thing is... you can use these same set of tools across so many different AI projects. We spent 6 weeks building a complete production-grade RAG system from scratch - all local! Completely built in Public! These tools will teach you more than any bootcamp ever could. 🔸 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗟𝗮𝘆𝗲𝗿 → FastAPI + Uvicorn (Learn async Python properly) → Gradio (Build AI demos that actually impress) → UV + Ruff + MyPy (Modern Python workflow mastery) → Docker Compose (Infrastructure as code fundamentals) → Pytest + Testcontainers (Test with real databases) → Pre-commit + Make (Professional development habits) 🔸 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗟𝗮𝘆𝗲𝗿 → Apache Airflow (Understand workflow orchestration) → Docling (Master advanced PDF processing) → HTTPX (Async HTTP requests done right) 🔸 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 & 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗟𝗮𝘆𝗲𝗿 → OpenSearch (Hybrid search architecture) → PostgreSQL (Relational + JSON + full-text search) → Redis (Caching strategies that matter) → SQLAlchemy 2.0 (Modern ORM patterns) → Alembic (Database migration best practices) 🔸 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗟𝗮𝘆𝗲𝗿 → Ollama (Local LLM deployment mastery) 🔸 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗟𝗮𝘆𝗲𝗿 → Langfuse (LLM monitoring, Evals and debugging) 𝗧𝗵𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵: Each tool teaches a fundamental concept you’ll use everywhere. - FastAPI → Async web development - OpenSearch → Information retrieval theory - Airflow → Distributed systems thinking - PostgreSQL → Data modeling mastery - Docker → Container orchestration - Ollama → Model deployment strategies 𝗥𝗲𝗮𝗹 𝘀𝗸𝗶𝗹𝗹𝘀 𝗴𝗮𝗶𝗻𝗲𝗱: ☑︎ Build production RAG from scratch ☑︎ Handle 10,000+ documents efficiently ☑︎ Implement hybrid search (BM25 + vectors) ☑︎ Deploy models locally without APIs ☑︎ Monitor LLM performance properly ☑︎ Write maintainable, testable code This isn’t just a project - it’s a complete AI engineering education. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗳𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗮𝘁𝗵? Every tool, every lesson, every breakthrough documented. And we are not stopping here! We are going into more advance topics!

Explain your framework ARCHITECTURE like this to get selected 🙌

Comment “RENDER” and I’ll send you the link to this insane rendering tool 👇 Turn your basic SketchUp views into high-quality, realistic renders in minutes — no heavy software, no complicated setup. Just upload, tweak, and you’re done. Even if you’re not great at prompting, it helps you out with smart suggestions. Plus, you can create cinematic walkthroughs effortlessly. Follow my journey for more tools, tips, and shortcuts to level up your architectural workflow — whether you’re a student or a professional 🚀 #architecturetools #RenderingMadeEasy #sketchup #ArchViz #designworkflow

8 RAG architectures for AI Engineers 🧠 (explained with usage) 1️⃣ Naive RAG Retrieves documents purely based on vector similarity between query embedding and stored embeddings. Best for: Simple, fact-based queries where direct semantic matching suffices. 2️⃣ Multimodal RAG Handles multiple data types (text, images, audio) by embedding and retrieving across modalities. Best for: Cross-modal retrieval tasks like answering text queries with both text and image context. 3️⃣ HyDE (Hypothetical Document Embeddings) Generates a hypothetical answer document from the query before retrieval. Best for: When queries are not semantically similar to documents. 4️⃣ Corrective RAG Validates retrieved results by comparing them against trusted sources (e.g., web search). Best for: Ensuring up-to-date and accurate information. 5️⃣ Graph RAG Converts retrieved content into a knowledge graph to capture relationships and entities. Best for: Enhanced reasoning with structured context alongside raw text. 6️⃣ Hybrid RAG Combines dense vector retrieval with graph-based retrieval in a single pipeline. Best for: Tasks requiring both unstructured text and structured relational data. 7️⃣ Adaptive RAG Dynamically decides if a query requires simple retrieval or multi-step reasoning chain. Best for: Breaking complex queries into smaller sub-queries for better coverage. 8️⃣ Agentic RAG Uses AI agents with planning, reasoning (ReAct, CoT), and memory to orchestrate retrieval from multiple sources. Best for: Complex workflows requiring tool use, external APIs, or combining multiple RAG techniques. 👉 Over to you: Which RAG architecture do you use the most? #ai #rag #machinelearning

Ranking popular render engines for indie artists and small studios #vray #unreal #octane #redshift #blendercycles #eevee

Building a portfolio with Antigravity + Claude… AI tools are getting wild 🤯 . @claudeai Antigravity: an AI dev environment that turns prompts into working apps. Claude: an AI coding assistant that writes and structures the code. Process: 1️⃣ Wrote a prompt describing the portfolio and tech stack 2️⃣ Used Next.js + Tailwind + Framer Motion for the setup 3️⃣ Added a scroll-based image sequence rendered with Canvas 4️⃣ Synced scroll progress to animation frames 5️⃣ Added parallax text overlays and a modern project grid AI + prompts → full scrollytelling portfolio. AI dev tools are getting insane.” . #googleantigravity #antigravityai #aicoding #vibecoding #gemini3 aitools

Mean while react native developer 💣 . . Tag your friends that need to see this!⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ 🙏 • • Turn on post notification so you don't miss any single post📲 • • ____________________ Like our content ? Hit that follow button! ⬇️ 👉 @instatushq 👉 @instatushq ____________________ #vscodememes #developerhumor #codelife #htmlcssjs #angulardeveloper #frontendfails #buglife #programmerhumor #techmemes #codestruggles #devlife #codingmeme #stackoverflow #webdevlife #memefordevs #debuggingmood #error404vibes #dailytechmemes #tomandjerry

3 Frontend Libraries Every Developer Should Know About! #frontend #developer #webdeveloper #frontenddeveloper #development