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title: What I Actually Learn When I Build With AI | daily.dev
description: A developer reflects on the difference between getting AI to produce working code and actually understanding it. Drawing on experience building a text editor...
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# What I Actually Learn When I Build With AI

**[DEV](https://daily.dev/sources/devto)** · 8 min read · 20 upvotes · 1 comments

## Summary

A developer reflects on the difference between getting AI to produce working code and actually understanding it. Drawing on experience building a text editor called Slate, the author discusses a save-race-condition bug (revision-based save tracking) as an example of a problem worth truly understanding versus just accepting AI's solution. The piece argues that experimentation, investigating unexpected results, and remembering problems (not code) are what make AI-assisted building a genuine learning experience, while acknowledging it's fine to let AI handle trivial tasks without deep investigation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dev.to/sizzlebop/what-i-actually-learn-when-i-build-with-ai-1074>

## Questions this post answers

### what is revision-based save tracking in a text editor and why does it matter

Revision-based save tracking prevents a race condition where a file save completes after the user has typed more changes, which would incorrectly mark the document as fully saved. When a save starts, the editor records which document revision is being written; if newer edits occur during the save, they are not mistakenly flagged as saved, since the editor compares revisions rather than just checking save completion.

_Developers debugging similar save races in their own editors can find real-world patterns like this through daily.dev._

### why is it risky to accept AI-generated code without understanding it

Accepting AI-generated code without understanding it means the underlying problem it solves goes unrecognized, so the same issue resurfaces unnoticed in future projects. A developer can follow an AI's explanation in the moment yet fail to retain it days later, because understanding an explanation is not the same as internalizing why a solution was structured that way.

_Developers weighing how deeply to vet AI-assisted code can track these lessons learned on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@springtofigh** · 8 upvotes

> If you are at a good stage, building with AI teaches you practical and technical skills beyond theory.

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---

Tags: [#ai](https://daily.dev/tags/ai), [#productivity](https://daily.dev/tags/productivity), [#ai-coding](https://daily.dev/tags/ai-coding), [#code-review](https://daily.dev/tags/code-review), [#vibe-coding](https://daily.dev/tags/vibe-coding)

[View this post on daily.dev](https://daily.dev/posts/what-i-actually-learn-when-i-build-with-ai-nsyvhz0sh)

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