Amrakh Malal

Are you an everyday AI user who relies on tools like ChatGPT, Claude, or Gemini to generate code, build scripts, or troubleshoot software bugs? If you use these models regularly to spin up features or patch layout errors, you have almost certainly hit a deeply frustrating wall. It usually starts smoothly. You ask the model to create a feature, and it gives you a clean code snippet that works great. But then you ask it to inject a new layer, such as an animation or a modern sliding window, and suddenly your layout breaks. You paste the error message back into the chat, the model apologizes, and it hands you a fix. Except that fix breaks a completely different part of your page. Before you know it, you are trapped inside an endless troubleshooting loop. You spend hours moving an error back and forth, changing the same three lines of code over and over, while the AI completely fails to understand why its own solutions are not working. My Journey Into the Context Trap I faced this exact ki...

Many people assume that building a high-end web app requires years of formal development training. The reality is that modern web creation belongs to the self-driven curator. Over the past year, in my free time, I have been building and evolving my digital presence across two distinct environments: Blogger for my writing stream and a custom setup deployed on Netlify. This was not an overnight project where I asked an AI to spit out a layout for me to copy and paste. My journey began by closely studying premium designs across the web, breaking down exactly what made them visually compelling, and identifying why their user interfaces stood out. When I first looked into showcasing my creative work, AI tools suggested starting with a basic builder like Carrd. I spent months hosting a layout there, but I quickly hit structural walls: the unavoidable branding footers, the missing custom text styles, and the inability to inject raw, direct layout code. To break past those generic template...