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Technical Insights On Building Scalable AI Systems and Full Stack Applications

In-depth, opinionated guides on shipping production AI systems — Retrieval-Augmented Generation (RAG), LangChain and LangGraph agent workflows, vector search, Next.js performance, TypeScript architecture, and the DevOps that holds it all together. Every post is written for engineers who have to make the trade-offs, not just describe them.

· Written by Niraj Kumar

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Practical breakdowns of AI systems, scalable backends, modern web stacks, and production-ready engineering.

112 articles found

Architecting Event-Driven AI Agent Workflows: Integrating LangGraph, Node.js, and AWS for Real-Time Automation

Stop polling APIs. Learn how to build real-time, event-driven multi-agent AI workflows with LangGraph, Ollama local LLMs, Node.js, Express, n8n, Make.com, Socket.io, Next.js, Docker, and AWS — a practical 2026 blueprint for sovereign AI automation.

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Architecting Sandboxed Code-Execution Agents: Ephemeral Docker Runtimes, LangGraph, and Real-Time Telemetry in Next.js

Build a zero-trust, sandboxed AI coding agent with LangGraph, Ollama, and Claude Code that runs Python, C++, and JavaScript in ephemeral, network-restricted Docker containers on AWS Linux, with JWT execution policies, PostgreSQL audit trails, and live Socket.io telemetry in a Next.js workspace.

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Architecting a Self-Hosted Hybrid LLM Gateway: Dynamic Cost Routing, Semantic Caching, and Usage Billing with Node.js, Ollama, and Next.js

A hands-on 2026 guide to building a self-hosted hybrid LLM gateway with Node.js, Express, Nginx, and Ollama. Route LangGraph traffic by query complexity and latency, cache semantically in PostgreSQL with pgvector, log token telemetry in MongoDB, stream live costs to a Next.js dashboard, and bill usage through Stripe, Razorpay, and Cashfree.

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Engineering Custom MCP Servers for Local AI Agents: Bridging PostgreSQL, MongoDB, and REST APIs with LangGraph and Next.js

A hands-on 2026 guide to building secure TypeScript MCP servers that connect local Ollama models and Claude Code to PostgreSQL, MongoDB, and REST APIs, orchestrated with LangGraph, streamed to a Next.js dashboard, and deployed with Docker and Nginx on AWS.

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Engineering Durable Human-in-the-Loop (HITL) AI Workflows: State Checkpointing with LangGraph, PostgreSQL, and Next.js

Build enterprise-grade human-in-the-loop AI agents that pause for approval before Stripe or Razorpay payouts. Learn LangGraph interrupts, PostgreSQL checkpointing, Socket.io real-time dashboards in Next.js, an Express resume API, JWT/OAuth RBAC, n8n alerts, and Docker deployment on AWS.

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Architecting Sub-50ms Voice AI Agents: Integrating C++ Inference Engines, Ollama, and WebSockets in Next.js

Build a real-time, full-duplex voice AI agent from scratch. Learn how to wire whisper.cpp, Ollama, Piper, Socket.io, LangGraph, Next.js, Redux and JWT auth into a containerized stack behind Nginx on AWS Linux.

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