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    <title>DEV Community: TaeeWon Kim</title>
    <description>The latest articles on DEV Community by TaeeWon Kim (@eyesings).</description>
    <link>https://dev.to/eyesings</link>
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      <title>DEV Community: TaeeWon Kim</title>
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      <title>I've Been an iOS Developer for 10 Years. My First Personal App? 100% Vibe-Coded.</title>
      <dc:creator>TaeeWon Kim</dc:creator>
      <pubDate>Thu, 03 Sep 2026 04:41:18 +0000</pubDate>
      <link>https://dev.to/eyesings/ive-been-an-ios-developer-for-10-years-my-first-personal-app-100-vibe-coded-10fg</link>
      <guid>https://dev.to/eyesings/ive-been-an-ios-developer-for-10-years-my-first-personal-app-100-vibe-coded-10fg</guid>
      <description>&lt;p&gt;I've been an iOS developer for 10 years, but I had never built my own app. While on parental leave, I finally built one. But I never wrote a single line of code myself.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why I decided not to read the code
&lt;/h2&gt;

&lt;p&gt;From the start, I decided I wouldn't read a single line of code. Because I knew I couldn't verify AI-generated code. After 10 years of working mostly with WebView, I couldn't tell if SwiftUI code was right or wrong.&lt;/p&gt;

&lt;p&gt;So I decided to verify the results instead of the code.&lt;/p&gt;

&lt;h2&gt;
  
  
  The Korean particle problem
&lt;/h2&gt;

&lt;p&gt;Korean has grammatical particles that change depending on the word before them. For example, 나는 and 내가 mean the same thing, but use different particles.&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;나 + 는  →  나는  ("I" + topic particle)
내 + 가  →  내가  ("I" + subject particle)
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;So when comparing what the user said with the saved affirmation, even a single different particle made it a different sentence.&lt;/p&gt;

&lt;p&gt;At first, I told the AI to hardcode Korean particle handling. But the number of edge cases exploded. That's when I changed my approach: anything above an 85–90% similarity score would pass. So I switched to similarity scoring instead of exact matching.&lt;/p&gt;

&lt;p&gt;Making this decision didn't require a single line of code.&lt;/p&gt;

&lt;h2&gt;
  
  
  Letting the AI verify itself
&lt;/h2&gt;

&lt;p&gt;If I can't verify the code myself, why not let the AI do it? I deliberately fed it wrong inputs and tested whether it could catch them.&lt;/p&gt;

&lt;h2&gt;
  
  
  What I found in the logs
&lt;/h2&gt;

&lt;p&gt;When I opened the oldest log on my MacBook, it wasn't my words — it was messages exchanged between AI agents. The first thing I actually typed was: "You are the orchestrator of this repo."&lt;/p&gt;

&lt;p&gt;The plan is to add on-device AI to this app.&lt;/p&gt;




&lt;p&gt;The app I built is &lt;strong&gt;AffirmCount&lt;/strong&gt; — &lt;a href="https://apps.apple.com/app/id6755788965" rel="noopener noreferrer"&gt;App Store&lt;/a&gt; · &lt;a href="https://play.google.com/store/apps/details?id=com.sogumpapa.affirmcountapp" rel="noopener noreferrer"&gt;Google Play&lt;/a&gt;&lt;/p&gt;

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