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Interestingly, the efficiency improvement of AI coding tools like Claude Code is really obvious. A developer shared his experience: using Claude Code, he completed a project that previously took him two weeks in just 30 minutes.
The specific technical approach is as follows: first, download all X data, then perform semantic embedding on each post, followed by dimensionality reduction with UMAP and clustering operations, and finally let the LLM automatically label each data cluster. Throughout the process, the output quality is actually better than manual processing before.
From several weeks to tens of minutes, this time difference reflects the significant advantages of AI-assisted coding in data processing and model debugging. For Web3 developers, such tools are changing the pace of rapid project iteration.