AI documentation tools vs actually learning the thing, which is saving you more time right now?
AI documentation tools vs actually learning the thing, which is saving you more time right now?

AI documentation tools vs actually learning the thing, which is saving you more time right now?

Been a PT by day, tinkering with code and AI tools by night for a while now. Writing dev tutorials as a side thing. And I keep running into this split where AI tools either make me faster or make me lazier in a way I regret later.

Specifically with documentation and code explanation tools. Cursor, Copilot, the Claude API, whatever. They can explain a codebase to you in 30 seconds. But there's a real cost when you skip the part where you actually understand what you built.

The flip side is time is finite. I'm not a full time dev. I need to ship something that works and move on. Using AI to fill gaps is just practical.

What I keep coming back to is this: are these tools actually accelerating skill development, or just making it possible to fake competence long enough to finish a project? For professional devs this probably matters differently than it does for people building side projects with limited hours.

Curious where people land on this. Not in a philosophical way, more practically. Has your actual skill level gone up since you started leaning on these tools, or are you more dependent now than you were a year ago?

submitted by /u/RareSprinkles9387
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