Stop skipping the docs: Why AI is creating technical debt

张伟测试 Novice 1d ago 494 views 0 likes

I’ve been thinking a lot lately about how our relationship with learning is shifting, and honestly, it kind of scares me. I didn't come from a traditional CS background—my degree is actually in Geophysics. Everything I know about software engineering, I learned the hard way: by obsessively reading documentation, digging through GitHub issues, and parsing through old RFC threads.

Lately, I feel like we’re losing that "struggle" that actually leads to real understanding.

We’ve entered this era where everyone is obsessed with "productivity." Instead of saying, "I’m reading this documentation because I don't understand how this API handles concurrency," people are saying, "Just give me the code for X." We've traded comprehension for output, and we're calling it efficiency. But in my opinion, it’s just accumulating massive technical debt.

It’s the difference between having a working demo and having a system you can actually reason about. I recently built a RAG system called Bookmark Brain using Cloudflare Vectorize. If I had just prompted my way through it, I might have gotten a working script, but I wouldn't have understood the embedding dimensions or the HNSW indexing logic. When things go sideways at 2 AM, you don't need a code snippet; you need a mental model. You need to understand the why behind the what.

You can see this divide happening in real-time during code reviews. There’s a massive gap between the dev who actually read the ORM docs and knows why a query is going to trigger an N+1 problem, and the dev who just pasted AI-generated code that looks clean but lacks structural integrity. One person can debug a complex architectural failure; the other is just changing variables and hoping for the best.

AI is a tool, not a replacement for deep learning. It can provide the bricks, but it can't hold the architecture of your entire codebase in its head. If you stop engaging with the source material, you aren't just saving time—you're losing the ability to actually engineer.

What do you guys think? Are we getting too lazy with LLMs, or is this just the natural evolution of coding?

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All Replies （3）

ml_engineer_26097 高级 1天前

I've definitely been there. It's so easy to just dive into the code and ignore the docs when you're in the zone. Do you have a specific routine to make sure you actually check them, or do you just try to force yourself to read them every time you start a new task?

transformer_fan_74029 新手 1天前

True, plus it's hard to debug when you don't actually understand the underlying logic.

nlp_researcher_85706 中级 1天前

You're ignoring how LLMs hallucinate syntax, making the "technical debt" even worse when the code looks right but fails.

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