Field-tested architectural decision records (ADRs), full-stack microservice breakdowns, and zero-cost AI automations.
A pragmatic, cost-driven decision framework comparing modular monoliths and microservices for engineering leaders, founders, and developers.
A complete engineering guide to building autonomous AI agents in TypeScript and Python, bypassing high SaaS bills with unified local routing, robust tool schemas, and resilient error handling.
A production guide to replacing cloud AI token bills by self-hosting state-of-the-art open models like Gemma 4, Qwen 3.5, and Llama 4 using Ollama, Nginx gateways, and resilient dual clients.
How working engineers in India can command architecture-level salaries by mastering autonomous AI agents, MCP servers, and production LLM systems — and the exact 4-month path to get there.
Working engineers plateau not on coding talent but on proof — no one reviews their production code or walks them through real architecture teardowns. Here's the 12-month path to architect-level that actually works.
A production-grade guide to designing, securing, and scaling agentic workflows using Model Context Protocol (MCP) with self-hosted TypeScript and Python architectures.
An architectural reality check on cloud over-engineering, illustrating how early-stage startups burn runway on microservices and Kubernetes, and how to build a resilient, low-cost alternative.
A complete step-by-step production guide to deploying an autonomous, self-hosted n8n workflow engine connected to local open-source LLMs via Ollama on a cloud VPS.
A beginner-friendly, zero-code architectural guide on running private AI chatbots locally using Docker, n8n, Flowise, and Ollama without recurring API bills.
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