The Answer To This Interview Question:
Improving Core Web Vitals with AI involves using AI tools to analyze performance metrics, identify issues, and automate solutions. Start with tools like Google Lighthouse or PageSpeed Insights to collect baseline data. Use AI-driven solutions to optimize loading speed, interactivity, and visual stability by compressing images, lazy-loading assets, and optimizing code. AI tools can also analyze user behavior to identify bottlenecks affecting metrics like LCP, FID, and CLS. Ongoing monitoring and testing ensure continuous improvement and compliance with Core Web Vital benchmarks.
What The Interviewer Really Wants To Hear:
This question evaluates the candidates technical understanding of Core Web Vitals and how they leverage AI tools to improve performance. Strong answers should include metrics like LCP, FID, and CLS along with practical AI-driven optimizations.
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Tips To Answer This Interview Question Successfully
Use AI Tools to Identify Bottlenecks
Leverage tools like Google Lighthouse, PageSpeed Insights, and AI platforms like NitroPack to pinpoint load delays, layout shifts, and other performance bottlenecks. AI can run real-time analysis to detect recurring issues across large websites.
Automate Fixes for Speed
Use AI solutions to implement image compression (via TinyPNG API), lazy-load scripts, and CSS/JS minification. For example, AI tools can auto-select compression levels for balancing speed and quality.
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