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Business Insider·3 min read·medium

Can you vibe code an entire search engine? This ex-Googler tried.

Can you vibe code an entire search engine? This ex-Googler tried.
AI Summary

Former Google engineer Hugh Williams successfully built a functional search engine using Anthropic's Claude Code without writing manual code. He emphasizes that while AI is powerful, it functions best as a tool for experienced engineers who act as 'coaches' rather than replacements.

Why it matters

It provides a practical case study on the evolving role of software engineers in an era of AI-assisted development.

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A fake tombstone announcing the "death" of the Alta Vista search engine sits on a desk in the Google Mt. View office on Thursday March 13, 2003 MediaNews Group/The Mercury News via Getty Images A version of this story originally appeared in the BI Tech Memo newsletter. Sign up for the weekly BI Tech Memo newsletter here . Former Google engineering leader Hugh Williams is back with another fascinating Claude Code experiment. After previously showing how Anthropic's coding assistant helped him build an AWS-based system in 48 hours , Williams has been using Claude Code recently to create a working search engine called Zettair that indexes 1.5 million Wikipedia articles. The project includes features you'd expect from a modern search engine: autosuggest, query-biased snippets, related searches, trending topics, and AI-generated summaries. Williams says he wrote zero lines of code himself, relying entirely on Claude Code. That's technically true, with an important caveat: the underlying search engine is based on an information-retrieval system he helped build in the early 2000s. His biggest takeaway wasn't that AI can replace engineers. Instead, Williams argues Claude Code works best when paired with deep technical expertise. Building with AI, he says, feels less like programming and more like coaching — and experienced engineers still make the best coaches. Sign up for BI's Tech Memo newsletter here . Reach out to me via email at abarr@businessinsider.com . Read the original article on Business Insider

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Confidence: 85%

The article reports on a technical experiment and the subject's professional opinion without ideological bias.

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