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Supercharging Web App Development with LLMs
As an avid coder in my spare time, I’ve always been on the lookout for ways to streamline my development process. When ChatGPT burst onto the scene in late 2022, it felt like someone had handed me a coding superpower. Suddenly, I had an AI assistant that could generate code snippets, debug errors, and even write documentation. It was a game-changer.
According to a McKinsey study, 70% of developers report that AI tools give them a significant productivity boost, allowing them to focus on more meaningful work. My experience certainly aligns with this finding.
But then, just when I thought things couldn’t get any better, Claude entered the picture. Claude took everything I loved about ChatGPT and cranked it up to eleven. The code it produces is cleaner, more efficient, and far more likely to work right out of the gate. It’s like having a senior developer on call 24/7, ready to tackle any problem I throw its way.
Through my journey of using Large Language Models (LLMs) to build web apps, particularly single-page applications (SPAs), I’ve learned some valuable lessons that I’m excited to share with fellow coders. Here are the key insights that have transformed my development process:
