Ars Technica's Lee Hutchinson, who admits he's not a coder, used AI to create a custom log colorizer. He needed a tool to sift through web server logs for the Space City Weather website, which he hosts. Existing solutions lacked the customization he desired. This project provided a perfect opportunity to see if AI could fill the coding gap.

He employed Claude Code, an AI coding assistant, to build a Python-based script. The resulting colorizer, a 400-line script, allows Hutchinson to easily scan through logs. The project's small size was ideal for AI assistance. The colorizer helps identify and troubleshoot caching issues on the Space City Weather website.

This experiment showcases the potential of AI tools for non-programmers. It demonstrates how large language models can be used to solve specific problems. The project’s success suggests a shift in how we approach coding tasks. It also highlights the increasing accessibility of these tools for everyday tech users.

While Hutchinson's experience is specific, it reflects a broader trend. AI is lowering the barrier to entry for various tech tasks. Expect to see more non-coders leverage AI to create custom solutions. This trend could lead to a surge in DIY tech projects and increased innovation.