Swati Mittal·Aug 17Human-in-the-Loop AI Workflows on AWS: When AI Should Ask a HumanAI applications are getting very good at making decisions.
Swati Mittal·Jul 23Designing AI Memory for React Applications with Amazon BedrockOne of the biggest misconceptions about Large Language Models (LLMs) is that they “remember” conversations. They don’t.A response icon1A response icon1
Swati Mittal·Jul 15Context Engineering for AI Applications with React and Amazon BedrockFor the past two years, the AI community has been obsessed with Prompt Engineering. Countless articles explain how to write better prompts…
Swati Mittal·Jul 6Building Retrieval-Augmented Generation (RAG) for React Applications on AWSLarge Language Models (LLMs) are incredibly capable, but they all share one important limitation. They can only answer questions based on…
Swati Mittal·Jul 2Building AI Agents for React Applications with Amazon BedrockA few years ago, adding AI to a React application usually meant sending a prompt to a Large Language Model (LLM) and displaying the…
Swati Mittal·Jun 28Building AI-Powered React Applications with Amazon BedrockAI is quickly becoming a core capability in modern web applications. From intelligent search & document summarization to code generation &…
Swati Mittal·Jun 24Event-Driven Frontend Architectures with Amazon EventBridgeMost frontend applications are built around a simple pattern:
Swati Mittal·Jun 20Building Production-Ready React Applications with AWS AmplifyModern frontend teams want to focus on building features, not managing infrastructure. Yet a typical React application often requires:
Swati Mittal·Jun 18How React Applications Scale Globally with S3 and CloudFrontOne of the biggest misconceptions in frontend development is that scalability is primarily a backend concern.
Swati Mittal·Jun 11Why Your Frontend is Still Slow After Every OptimizationYou’ve optimized your React components. You’ve implemented lazy loading. You’ve reduced bundle sizes. You’ve compressed images.
