Welcome to the blog repository showcasing practical insights and engineering deep dives into AI-driven systems. This repo contains multiple blogs focused on real-world applications of AI, LLMs, and scalable system architectures — now including a broader look at modern web frameworks powering these systems.
This blog explores how to build a personalized course recommendation system using Retrieval-Augmented Generation (RAG). We dive into how to semantically index course materials, retrieve relevant data based on user profiles, and generate tailored suggestions using LLMs like OpenAI/GPT or LLaMA.
Key Topics:
- Vector embeddings & semantic search
- User profiling and context-aware recommendations
- LLM integration with real-time retrieval
- Practical RAG system architecture
This blog covers architectural best practices for building scalable, enterprise-grade LLM-based chatbots. We go beyond basic chat interfaces and dive into reliability, observability, real-time streaming, and MLOps for deployment.
Key Topics:
- Event-driven architecture with Kafka
- Streaming responses using SSE/WebSockets
- ELK for observability & logging
- Separation of frontend (Next.js), backend (NestJS), and AI layer (Python)
- Security, tokenization, and context management
3. Is Next.js Still Developer-Friendly in 2025? Exploring Issues, Vercel Monopoly, Migrations, and the Upcoming Next.js 16
Dive into the debates surrounding Next.js in 2025 — from growing complexity and Vercel's ecosystem dominance to real-world migrations and previews of Next.js 16 at the upcoming conference. This piece analyzes whether Next.js still deserves its developer-friendly reputation or if alternatives like Remix, Astro, and SvelteKit are taking the lead.
Key Topics:
- Next.js complexity & breaking changes
- Vercel’s monopoly in frontend, cloud, and AI tools
- i18n, routing, and authentication pain points
- Real-world migrations (ChatGPT, Northflank, etc.)
- Next.js 16 and the future of the framework
Stay tuned for more AI infrastructure blogs and real-world implementation guides — spanning LLMs, frontend frameworks, and scalable system design.