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    Understanding and Preventing Fetch Waterfalls in React

    If you're a React developer, it's a safe bet you've encountered fetch waterfalls - also called request waterfalls or network waterfalls. Their distinctive shape crops up in analytics tools when you go try to see what's taking the page you painstakingly designed is taking so long to load. In this…
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      The Hidden Bottleneck in LLM Streaming: Function Calls (And How to Fix It)

      Picture this: You’re building a real-time LLM-powered app. Your users are expecting fast, continuous updates from the AI, but instead, they’re staring at a frozen screen. What gives? Perhaps surprisingly — it’s probably not your LLM that’s slowing things down. It’s your function calls. Every time…

        Building the Ideal AI Agent: From Async Event Streams to Context-Aware State Management

        The dream of an autonomous AI agent isn’t just about generating smart responses — it’s about making those responses fast, interactive, and context-aware. To achieve this, you need to manage state across asynchronous tasks, handle real-time communication, and separate logic cleanly. In this blog,…

          Self-Correcting AI Agents: How to Build AI That Learns From Its Mistakes

          What if your AI agent could recognize its own mistakes, learn from them, and try again — without human intervention? Welcome to the world of self-correcting AI agents. Most AI models generate outputs in a single attempt. But self-correcting agents go further. They can identify when an error occurs,…