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# Large Codebases

**[ThePrimeTime](https://daily.dev/sources/primeagen)** · 2 min read · 0 upvotes · 0 comments

## Summary

AI coding tools work well on large, mature codebases because they have years of accumulated context and patterns to draw from, enabling tasks that once took a day to be done in 15 minutes. However, this success doesn't translate to greenfield projects. The real danger is that AI accelerates code generation so dramatically that bad architectural decisions now compound at 10-20x the scale before anyone notices — turning what used to be a 30,000-line mistake into a 500,000-line disaster. Simple bug fixes in mature codebases may be automatable, but the need for careful upfront thinking has never been higher.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=DeNLjVyeAhQ>

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