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@@ -109,10 +109,19 @@ The Evolution of Software Development in the AI Era | codeskraps
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<div>
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<p>When ChatGPT was released on November 30, 2022, few of us understood how dramatically it would transform the software development landscape. As someone who’s worked through this transition, I’ve witnessed firsthand the remarkable shift in how we approach coding and problem-solving.</p>
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-<figure><img src="/posts/2025/evolution_software_development_ai/header.png"
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- alt="The Evolution of Software Development in the AI Era" width="800" height="400">
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+<figure class="responsive-image"><img src="/posts/2025/evolution_software_development_ai/header.png"
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+ alt="The Evolution of Software Development in the AI Era" width="600" height="350">
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</figure>
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+<style>
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+.responsive-image {
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+ max-width: 600px;
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+ width: 100%;
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+ height: auto;
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+ display: block;
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+ margin: 0 auto;
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+}
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+</style>
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<h2 id="the-early-days-a-promising-but-flawed-tool">The Early Days: A Promising but Flawed Tool</h2>
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<p>The initial release of ChatGPT (based on GPT-3.5) could handle approximately 4,096 tokens (roughly 3,000 words) of context. While impressive at the time, it was largely a novelty for serious development work. The model made frequent mistakes, generated code with obvious bugs, and was notorious for its hallucinations. Many developers, myself included, experimented with it but couldn’t rely on it for production-grade work.</p>
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<h2 id="the-rapid-evolution">The Rapid Evolution</h2>
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