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matheus-rrtoday at 2:42 PM1 replyview on HN

The pendulum swing described here is real but I think the underlying issue is subtler than "AI vs. no AI."

The actual problem most teams have isn't writing code — it's understanding what the code they already depend on is doing. You can vibe-code a whole app in a weekend, but when one of your 200 transitive dependencies ships a breaking change in a patch release, no amount of AI is going to help you debug why your auth flow suddenly broke.

The skill that's actually becoming more valuable isn't "writing code from scratch" — it's maintaining awareness of the ecosystem you're building on. Knowing when Node ships a security fix that affects your HTTP handling, or when a React minor changes the reconciliation behavior, or when Postgres deprecates a function you use in 50 queries.

That's the boring, unsexy part of engineering that AI doesn't solve and most developers skip until something catches fire.


Replies

milowatatoday at 2:51 PM

> no amount of AI is going to help you debug why your auth flow suddenly broke.

What? Coding agents are very capable at helping fix bugs in specific domains. Your examples are like, the exact place where AI can add value.

You do an update, things randomly break: tell Claude to figure it out and it can go look up the breaking changes in the new versions, read your code and tell you what happened and fix it for you.

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