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web/content/the-impact-of-ai-on-the-technical-interview-process.md

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@@ -55,6 +55,8 @@ In a discussion with one of the senior hiring managers, the topic of AI came up
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Given this reality, the question is: ***now what?***
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It's not primarily a matter of cheating *per se*, but one of relevancy. When off-the-shelf, every-day AI tools can perform a given task and perform it exceedingly fast and exceedingly well, what is the value in measuring a human against it?
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Is the right answer to simply design a more complex set of assessments? To find the superhuman coders that can outperform an LLM coding assistant? To make it *even more Rube Goldberg*? *To what end?*
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Throughout this whole process of interviewing with a handful of companies, it was surprising that not once was a code review incorporated into the process. Yet proficiency at code reviews (or reading and evaluating code in general) is one of the most practical first-day and day-to-day skills -- **especially** for evaluating senior engineers.

web/nuxt.config.ts

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@@ -27,7 +27,7 @@ export default defineNuxtConfig({
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},
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googleFonts: {
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families: {
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"M PLUS Rounded 1c": [300, 400, 500, 700]
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"M PLUS 2": [300, 400, 500, 700]
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}
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},
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quasar: {

web/pages/blog/[slug].vue

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}
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:deep(blockquote) p {
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font-size: 28px !important;
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font-size: 36px !important;
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line-height: 1.4em;
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opacity: 0.6;
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padding: 0px 2%;

web/quasar-variables.sass

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// @import url('https://fonts.googleapis.com/css2?family=M+PLUS+Rounded+1c:wght@300;500;700;900&display=swap')
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$typography-font-family : 'M Plus Rounded 1c', sans-serif !default
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// $typography-font-family : 'M Plus Rounded 1c', sans-serif !default
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$typography-font-family : 'M PLUS 2', sans-serif !default
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$primary : #333
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$secondary : #eceade
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// Fix issues with font rendering in Windows with sub-tenth values.
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$body2: (size: 0.9rem)
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$h6: (size: 1.3rem, weight: 700)
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$h6: (size: 1.3rem, weight: 700)

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