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.
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PuzzledScholarvip
· 01-19 11:27
How is it possible for this person to finish in 30 minutes? I think they didn't account for debugging time... Claude is indeed powerful now, but the embedding part still tends to cause issues. Two weeks to half an hour? It doesn't seem that exaggerated; maybe the project itself isn't that complex. Automatically labeling with LLMs actually results in better quality? I believe that; manual bias is too prevalent. Web3 indeed needs rapid iteration, and tools like these are the trend. Why does it feel like everything can now be done with AI? What are we even good for, haha. But when it comes to embedding data processing, it still depends on the specific case; not everything is that smooth. Is this efficiency boost really just a dream... or am I just too inexperienced? I'm a bit excited, but also a little panicked, feeling like the workload is being squeezed out.
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FlashLoanLarryvip
· 01-18 23:26
2 weeks to 30 minutes? If that's true, I might as well switch to writing prompts directly. Claude Code really takes automation of human work to the max. With the combination of embedding + UMAP + LLM, the quality is even better? That's a bit unbelievable. Honestly, Web3 should have adopted these kinds of tools long ago. The days of manual processing were simply a waste of life. This kind of efficiency gap really could change the entire development pace, but I still have some doubts about whether that 2-week project might have missed some pitfalls.
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MetaNomadvip
· 01-18 10:54
2 weeks in 30 minutes? Are you joking? That's a bit outrageous. Claude Code is indeed awesome, a blessing for lazy people. Really? The quality is even better? I’m a bit skeptical. Web3 has become so intense, I need to learn quickly. This efficiency... I have to try it, or I’ll be eliminated. Embedding + UMAP + LLM combo is truly unbeatable. Completing two weeks of work in 30 minutes, I have no choice. Wow, AI programming tools are about to dominate the development world. If the quality is even better, manual processing is really outdated.
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RamenStackervip
· 01-18 10:53
Whoa, shrinking from 2 weeks to 30 minutes? That's a pretty huge gap. Claude Code really has some substance... It truly liberates data processing. But I'm more curious—can the quality really surpass manual work? I need to try it myself. The Web3 folks really enjoy using this; the era of rapid iteration is here. Embedding + clustering + automatic tagging—this workflow is smooth, I feel like I'm out of the loop.
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TokenTaxonomistvip
· 01-18 10:46
nah hold up, 2 weeks down to 30 mins? per my analysis that's statistically suspicious... either the initial implementation was catastrophically inefficient or we're looking at some serious selection bias here. the embedding + umap + clustering pipeline is solid enough but let me pull up my spreadsheet real quick because those timelines don't taxonomically check out
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SoliditySurvivorvip
· 01-18 10:39
ngl this speed is really incredible, 2 weeks to 30 minutes? I have to try it Claude is really impressive in data processing, with embedding + clustering + tagging all in one Speaking of quality, is it even better? That's just too outrageous Web3 projects, get on it quickly, or you'll be left behind 30 minutes vs 2 weeks, this gap is more than enough to write an exciting article
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