---
title: "Discussion on \"Core Web Vitals for Developers: A Practical Guide to LCP, INP and CLS\" | Hashnode"
description: "Discussion on \"Core Web Vitals for Developers: A Practical Guide to LCP, INP and CLS\". Core Web Vitals get discussed in marketing meetings as a single score, but each metric maps to a very specific engineering problem. LCP is about the critical rendering path. INP is about main-thread w"
url: "https://hashnode.com/posts/core-web-vitals-for-developers-a-practical-guide-to-lcp-inp-and-cls/6ac9a490ea4e7898a7dd9f9e"
---

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Discussion

# [Core Web Vitals for Developers: A Practical Guide to LCP, INP and CLS](https://topseoexpertsus.hashnode.dev/core-web-vitals-for-developers-a-practical-guide-to-lcp-inp-and-cls?utm_source=hashnode&utm_medium=feed)

Core Web Vitals get discussed in marketing meetings as a single score, but each metric maps to a very specific engineering problem. LCP is about the critical rendering path. INP is about main-thread w

Oct 10 · 6 min read · topseoexpertsus.hashnode.dev  
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-   [#frontend-development](https://hashnode.com/tag/frontend-development)
-   [#performance](https://hashnode.com/tag/performance)
-   [#javascript](https://hashnode.com/tag/javascript)

## Written by

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## Responses 1

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[Proyect](https://hashnode.com/@proyect)

[Oct 13](https://hashnode.com/posts/core-web-vitals-for-developers-a-practical-guide-to-lcp-inp-and-cls/6ac9a490ea4e7898a7dd9f9e/comment/6ace9426ade76da6afaa240b)

I appreciate how you broke down Core Web Vitals into distinct engineering challenges rather than treating them as a monolithic score. Connecting INP specifically to main-thread work is particularly useful, as it shifts the focus from vague performance talk to concrete JavaScript execution patterns. Your mapping of LCP to the critical rendering path also highlights why resource priority hints are often more effective than generic caching strategies.

One actionable suggestion: consider adding a brief section on instrumenting these metrics directly in application code rather than relying solely on external tools. That helps developers catch regressions during local development. For teams that want a deeper audit afterward, I work with a tool called Scanly that gives granular real-user insights into these same factors.

How do you currently prioritize which metric to optimize first when all three are failing in production? Disclosure: I am affiliated with Scanly.