Can AI Supercharge Your Front‑End Coding? A Hands‑On Review of VS Code Smart Features

There is no doubt that artificial intelligence will change the way software is developed – we have already seen benefits such as automatic code generation from images or data models. This article investigates whether an ordinary developer can use AI‑based tools to improve productivity.

Experiment Overview

The author searched for "intelligent programming" tools, selected several popular extensions, and used them to implement a simple UI where the displayed content updates as the user types into an input box. The goal is to observe the capabilities each tool provides and assess their practical impact on coding work.

VS Code IntelliSense

Code Completion

VS Code’s built‑in IntelliSense offers code completion, quick info, and parameter info. It supports JavaScript/TypeScript, HTML, CSS/SCSS/Less out of the box and can be extended to other languages via language extensions.

Completion suggestions are generated by the language service, which analyzes source code semantics. When a possible completion is known, a suggestion list appears as you type.

If you continue typing, the list is filtered to items containing the entered characters.

Suggestions include language‑service recommendations, snippets, and simple word‑based completions. Their sorting priority is:

Language‑service suggestions

Snippets

Global identifiers

Word‑based text

The "locality bonus" (nearby‑code priority) can be enabled via the

editor.suggest.localityBonus

setting.

Snippet priority is configurable with

editor.snippetSuggestions

(values: top, bottom, inline, none).

Selection behavior in the suggestion list is controlled by

editor.suggestSelection

(values: first, recentlyUsed, recentlyUsedByPrefix).

Quick Info

Clicking the info icon next to a suggestion opens a side panel showing documentation for that item. The panel stays open while you browse the list and can be closed with the close icon.

Parameter Info

When a function is selected from the completion list, its signature is displayed, and the current parameter is highlighted.

Intelligent Actions (Code Actions)

Refactoring

VS Code provides refactoring actions such as Extract Function and Extract Variable. Select the code, click the light‑bulb or press the shortcut (⌘), and the available refactorings appear.

Refactoring capabilities depend on the language service; VS Code’s built‑in TypeScript service supports JavaScript and TypeScript.

Quick Fixes

Quick fixes are diagnostics provided by the language service. They can highlight dead code, missing imports, or other common issues and offer a light‑bulb to apply an automatic fix.

Supported quick fixes vary by language; for TypeScript/JavaScript they include adding missing

this

, fixing misspelled property names, and removing unused imports.

Experiment Demonstration

Using only VS Code (no external plugins), the author completed the sample UI. Most listed features were triggered, but code‑completion types were limited to keywords, name expressions, and property expressions, with modest accuracy.

After installing

@types/react

, React API suggestions improved significantly.

Industry Products

Visual Studio IntelliCode

IntelliCode (released July 2018) is Microsoft’s AI‑enhanced code completion extension for VS Code, supporting JavaScript, C++, Python and more. It re‑ranks suggestions based on usage patterns and context.

IntelliCode also offers parameter‑completion (currently unavailable for TypeScript/JavaScript) and code‑refactoring suggestions.

Kite

Kite, launched March 2017, originally supported Python and now offers limited JavaScript support. It provides intelligent code completion, multi‑line suggestions, and context‑aware recommendations.

In the author's experiment, Kite’s completion was richer and more accurate than VS Code’s native suggestions, though the list length was smaller.

TabNine

TabNine (first released late 2018) supports many languages and provides full‑type, line‑ and multi‑line completions. It ranks suggestions with a confidence percentage.

The experiment showed high suggestion frequency but lower accuracy compared with Kite; response speed was comparable to VS Code’s native engine.

aiXcoder

aiXcoder (released mid‑2018) targets IntelliJ and VS Code, focusing on Java. It offers token‑, line‑ and multi‑line completions, automatic parameter suggestions, and intelligent code search.

Examples of multi‑token and multi‑line completions are shown in the article’s GIFs.

Big Companies

Facebook’s Aroma (April 2019) is a code‑search and recommendation tool that surfaces similar high‑quality snippets from large codebases to aid developers.

Google’s research includes a paper on neural networks for modeling source‑code edits, which predicts future edits based on millions of Python edit histories.

Other Tools

Additional niche tools include DeepCode (AI‑driven bug and security detection), Intelli Refactor (enhanced refactoring), and various plugins that focus on specific smart‑coding capabilities.

Main Capability Comparison

The author summarizes the tools’ feature coverage and personal experience in comparative tables (capability vs. experience), highlighting aspects such as offline usage, domain customization, completion types (property, name, token, line, multi‑line), efficiency, accuracy, response speed, and resource consumption.

Conclusion

Current AI‑assisted coding tools are still more marketing‑driven than truly autonomous. They can improve productivity for junior developers, while senior developers may find the benefits modest and sometimes intrusive. The effectiveness of these tools depends heavily on the quality of training data; private, domain‑specific models can yield better results. In the future, AI may evolve into genuine virtual assistants or even programming robots that collaborate with developers.