The Three Stages of Front‑End Evolution in the Age of AI

Hello, I am Kasong.

Recently many examples show non‑programmers using Cursor to quickly develop applications, which creates anxiety among programmers about the devaluation of their core skills.

The anxiety stems from two perspectives: (1) viewing AI from a developmental angle, assuming AI capabilities will keep growing; (2) viewing the programmer’s job statically, assuming the role remains unchanged.

Three Stages Front‑End Will Experience

Using the front‑end industry as an example, the sector is currently undergoing a massive development‑paradigm migration.

A "development‑paradigm migration" means new tools constantly appear while old ones are abandoned. Examples include the transition from native JavaScript to jQuery chaining, and from jQuery imperative code to declarative front‑end frameworks.

We are now in the first stage: "AI‑driven large‑scale development‑paradigm migration".

When the migration completes, a factual "new front‑end tech stack" will emerge (stage two), followed by a new front‑end development path (stage three).

Stage 1: Development‑Paradigm Migration

The hallmark of a large‑scale migration is the continual emergence and abandonment of development tools.

In AI‑assisted coding, early leaders like Github Copilot introduced AI‑driven tab‑completion. Later tools such as Continue , Cursor , and Windsurf built on Copilot to add modes like Chat, Normal/Agent Composer, making AI‑driven tab completion a de‑facto standard.

Another example is AI‑driven front‑end scaffolding tools. While traditional scaffolds like Vite and CRA belong to the previous paradigm, new AI‑powered tools such as v0 (by Vercel) and bolt.new (by Stackblitz) are emerging.

Stage 2: New Front‑End Tech Stack

Although AI‑assisted coding is becoming standard, most job postings have not yet reflected it because best practices are still evolving.

Only when a widely‑accepted best‑practice emerges will the AI‑assisted workflow become a listed requirement, solidifying the new front‑end tech stack.

The anxiety around tools like Cursor stems from not recognizing that the front‑end stack will continuously update as AI advances.

Eventually, tools such as Cursor will be as essential as current front‑end frameworks.

Stage 3: New Front‑End Development Path

After the paradigm shift, two outcomes appear: higher professional thresholds and dramatically increased development efficiency, leading to industry reshuffling.

The future basic front‑end role will be "AI‑tool‑savvy front‑end specialist" requiring (1) proficient use of AI coding assistants and (2) solid front‑end theory comparable to senior developers.

Two advancement directions exist: building AI tools (similar to infrastructure front‑end) and becoming a multi‑skill front‑end who also masters adjacent roles (UI, testing, backend, product) and parallel domains (other front‑end platforms).

Because many projects need multi‑platform delivery (mini‑programs, mobile, hybrid, web), developers who master multiple platforms can use AI to translate code across them, making the "big front‑end engineer" role viable.

Summary

Everything evolves, including AI and the programming profession.

A static view fuels fear of being replaced by AI, but a developmental perspective shows the industry is still in the early stage of a massive paradigm shift.

There is a long road ahead.

Interesting note: technology adoption today is driven by mass programmer endorsement, but in the future it may be driven by mass AI endorsement.