Thoughts, tutorials, and insights on AI-native development, automation, and building intelligent systems at scale.
Most web apps just store and display data. AI-native apps reason over it. This article breaks down how I design full-stack applications that combine traditional systems with LLMs—covering architecture, RAG pipelines, and how to turn static dashboards into intelligent, queryable systems.
A deep dive into building responsive, real-time AI applications. I explore how I use modern full-stack tools to handle live data, user interactions, and AI responses—while maintaining performance, scalability, and a seamless user experience.
Manual workflows kill productivity. In this article, I show how I design and build internal tools and automation systems that replace repetitive tasks using AI—covering everything from input pipelines to decision-making outputs that actually save time and money.
Speed matters in AI products. This article explores how I integrate high-performance inference using Groq and open-source models like LLaMA 3 and Mistral to deliver fast, cost-efficient AI features in real-world applications without sacrificing quality.