Blog & Case Studies on React, Next.js & AI-Native Development
These posts are written for founders, product leaders, and engineering managers who want to understand how to hire, work with, and get the most from a senior React and AI-native full stack developer. Topics span React architecture, Next.js patterns, Node.js microservices, cloud deployment, AI-native workflows with Cursor AI and GitHub Copilot, LLM integration, and GenAI stabilization for enterprise teams — all drawn from real production work.
How to Hire a Senior React Developer from India Without Guesswork
Most companies hiring React developers from India get burned by the same 3 mistakes. Here is what to actually look for — from someone who has worked with IBM, Abercrombie & Fitch, and National Grid.
Inside an AI-Native Workflow: Cursor AI, Copilot & Claude at IBM
What does it actually look like to use Cursor AI, GitHub Copilot, and Claude in enterprise production? Not demos — real daily workflow at IBM building React and Node.js systems.
From SAS to React: How We Modernized National Grid's EPO Tracking Application
A real case study of migrating a legacy SAS desktop system to a React.js + .NET Core web platform using GenAI-assisted code generation — and what it actually takes to make AI-generated code production-ready.
When (and When Not) to Use GenAI for Production Code
GenAI can write code fast. But fast is not the same as production-ready. Here is the stabilization process I use at IBM to take AI-generated code from 'works on my machine' to enterprise-grade reliability.
Integrating LLMs into an Existing React + Node.js Application
A practical, no-hype guide to adding LLM capabilities to a React frontend and Node.js backend without rebuilding your entire architecture — based on real integration patterns from production systems.
Micro-Frontend Architecture with React: Lessons from Abercrombie & Fitch
How we migrated a legacy Java frontend to React Micro-Frontends for one of the world's largest fashion retailers — what worked, what did not, and the architecture decisions that made parallel deployments finally possible.