Submit your talk to speak at #AIIndia 🤩 We have already received many submissions, but there are still 7 days left to submit your talk for AI-India. Here are a few examples: 👉 I Built a Browser That Runs Its Own LLM 👉Running Offline AI on Mobile Devices 👉 1 Million Tokens Are Not an Agent’s Memory 👉 Evaluating LLMs in Production: Pre-Deployment Testing vs. Real-Time Monitoring 👉 Same AI, Different Answers: Understanding the Real Impact of RAG 👉Your Evals Are Lying to You 👉Architecting Temporal Graph Memory Harness for Evolving State in AI Agents 👉MCP at Scale: Going Serverless 👉Let’s Provide Memory to Agents Using LangGraph Working on something along these lines? Please apply for your talk; only 7 days left. ai-india.ai/home#speakers Best of luck! #AIIndia #nomadcoder

A serious message for #Angular engineers, from a teacher who has trained 2000+ students in Angular. 🙏 ******* I use Cursor extensively to accelerate #Angular development for both my clients and students. It’s a powerful tool, but in my experience, using it without a solid understanding of fundamentals is both immature and risky. 😐 Consider this scenario: 👉 You’ve built a signal-based form to edit a product 👉 You’re using httpResource in a service to fetch data 👉 There’s a button that triggers a PUT request to update the product Now, an LLM generates code where, an Angular Signal effect is created inside the component constructor and inside that effect, the model signal used by the form is being set 💻 At first glance, everything looks fine. But here’s the problem ❓ You edit the product, click the button, and the updated value is never sent. Instead, you always get the original API response. What went wrong? Despite having rules, skills, MCP, and multiple prompts in place, the LLM lost context. You keep prompting, hoping it fixes itself. Instead, it adds 50 more lines of code, introducing technical debt. So yes, you saved 2 hours generating the form with AI. But you lost 2 hours debugging it because of weak understanding of Angular Signals. The root issue: The LLM incorrectly placed logic inside an effect instead of a computed. As a result, every time change detection runs (e.g., on button click), the effect re-executes and resets the form with the original API value. This overrides user edits. So, if you want to master leveraging AI instead of becoming dependent on it, invest more time in strengthening your fundamentals. In this case Angular Signals. If Angular is part of how you earn your living, don’t hesitate, join one of the world’s most respected #Angular conferences, #ngIndia , on April 11 in Gurgaon. There are 12 talks from 12 international speakers, 👉 NgRx SignalStore: The Power of Extensibility 👉 Signal Forms: The Future of Forms in Angular 👉 Signal Forms meet the Signal Store 👉 Analyze the JS Heap and detect Memory Leaks 👉 Scaling Without Chaos: Building Enterprise Microfrontends 👉 The Architecture Behind Nx Speed 👉 Angular SSR: Rendering, Hydration, and the Hidden Tradeoffs 👉 Debugging Angular SSR: Tales of Pending Task, Hydration, Race Conditions 👉 Leveraging the Resource API: caching, SWR, prefetching, and optimistic updates 👉 Beyond ARIA: Accessibility as an Engineering Practice 👉 Angular Accessibility Testing Pyramid Come, learn, network, and master these 12 topics and use LLM as a master ❤️ Tickets - ng-ind.com/home #ngIndia #nomadcoder #angular #angularsignals #angularinterview

We are hosting India's First AI Conference, focused on Developers, AI-India 🔥 💻 15 Deep Dive Talks 🗣️ 15 Speakers 📆 12 April 2026 📍 Gurgaon, India 🎟️ Ticket Link in First comment. Join amazing speakers for learning, networking, and level up your skills. You will learn below topics. 👉 Demystifying the AI Jungle: Connecting the Dots by Rainer Hahnekamp 👉From the AI Jungle to RAG in a Tab: Private AI Search by Murat Sari 👉Build a Scalable AI-Driven Chat Application Using Azure AI Services and React by Shailendra Chauhan 👉AI ML Design Patterns for Developers. by shivprasad Koirala 👉Building Reliable LLM Evals That Actually Work in Production Priyanka Kore 👉Building Smarter Applications with On-device AI Agents & GraphRAG Ashita Prasad 👉Memory in AI Agents: What to Store, What to Forget, What to Summarize Navyaa Sharma 👉Testing Without Writing Tests? Lessons from an LLM-Driven Game Automation Platform by Umesh kumar Potti 👉WebMCP: Making the Web AI-Agent Ready Markus Ingvarsson 👉Moving legacy with AI Michael Hladky 👉Simplifying Agents Development with Vercal AI SDK by Dhananjay Kumar 👉RAG it Till You Make It: Building Smarter AI with Graphs & Gemini 3 by Bhavesh Bhatt 👉Fine-Grained Authorization: The Missing Piece in Agentic AI Security by Shivay Lamba Do not miss the opportunity and get your tickets now. See you in #AIIndia #GenAI #nomacoder

🚀 AI-India Conference 2026 is coming! 🇮🇳 🎤 15 Expert Speakers 🧠 15 In-Depth Technical Talks 🔍 Topics including OpenAI, Gemini, LLMs, AI Agents, Grok, Kernels, RAG, and more 📅 Date: 12 April 2026 📍 Location: Gurgaon, India 🎟️ Tickets 👉 ai-india.ai/home #AIIndia