AI hallucinations aren’t just an AI-model problem anymore. Once AI output reaches a React application,ย it’s a frontend product problem too. My...
Enterprise AI platforms are developing an architectural problem that isn’t getting enough attention. Teams are building AI copilots, agent dashboards...
AI applications have changed what users expect from a web interface. A traditional web app can get away with a spinner while an API request completes. An AI...
Building an LLM feature with React is easy. Building one that survives production is much harder. My take: React should own the user experience, not the...
Enterprise AI platforms are becoming larger, more complicated, and increasingly difficult to manage. A single AI platform might contain: AI copilots agent...
State management in React was already a contested subject before large language models started shoving token-by-token text into UIs. Now teams are wrestling...
AI applications are changing what frontend architecture needs to handle. A traditional React app mostly deals with predictable API responses. AI applications...
Every AI startup seems obsessed with the same things. Which LLM should we use? Should we fine-tune or use RAG? Which vector database scales better? Those are...
I think they’re obsessing over the wrong layer. Everyone is obsessed with AI models. GPT-5, Claude, Gemini, and open-source LLMs have become incredibly...
For years, React development followed a familiar pattern. Design the UI. Write components. Manage state. Connect APIs. Test everything manually. Deploy. Repeat...
