The Acceleration Is Still Accelerating: Why Every AI Prediction Was Too Conservative (even mine)



Date: 02/09/2025

Watch the Video

Okay, folks, let’s talk about this Dave Shapiro video – especially if you’re like me and diving headfirst into the AI-assisted coding world. Essentially, Dave’s showcasing how to build complex applications by cleverly connecting no-code platforms like Bubble or Zapier with Large Language Models (LLMs). The magic is using the LLMs for the heavy-lifting like natural language processing, data transformation, or even code generation, then piping the results back into your no-code app. Think of it as augmenting the limitations of your no-code setup with the raw power of AI.

For us developers, this is gold. We’re already familiar with the pain points of legacy systems or the bottlenecks in traditional development. This video provides a pathway to bypass those issues by offloading complex tasks to LLMs. Imagine automating customer support with a chatbot that writes code snippets for common user problems, or building a sophisticated data pipeline that automatically cleans and formats data for your reporting dashboards – all orchestrated through a no-code interface. It’s about blending the speed and accessibility of no-code with the intelligent problem-solving capabilities of AI.

Honestly, the idea of building full-fledged, automated workflows that would’ve taken weeks to code by hand, now configurable in hours, is incredibly enticing. It encourages experimentation and allows you to rapidly prototype and iterate on your ideas without getting bogged down in complex coding environments. I’m personally eager to try connecting a Laravel backend to a no-code front-end, using an LLM to handle data transformations and dynamically generate UI components. The possibilities are pretty much limitless, and the potential for productivity gains is massive. Definitely worth checking out!