Conditional Execution of Transpiler Passes Based on Per-Script Feature Detection

TL;DR

This paper introduces a method for conditionally executing transpiler passes in JavaScript compilers based on real-time feature detection, significantly reducing compilation time and resource usage.

Contribution

It presents a novel approach to dynamically track language features during transpilation, enabling selective pass execution in the Google Closure Compiler.

Findings

Reduced compilation time in large-scale projects

Decreased compute and memory usage

Maintained feature-correctness during transpilation

Abstract

As the ECMAScript specification evolves, industrial-scale JavaScript compilers face the challenge of supporting modern language syntax while maintaining compatibility for diverse execution environments. Traditionally, compilers solve this by running transpilation passes in a monolithic pipeline, where the transpilation passes are chosen to execute strictly based on a target language level. This results in significant computational waste, as compilers perform expensive Abstract Syntax Tree (AST) traversals to lower features that may not exist in the actual input source code. We present a compiler improvement that conditionally executes transpiler passes based on accurately tracking and dynamically maintaining the exact set of language features present in the compilation unit throughout the transpilation process. It is implemented in the production Google Closure Compiler. By populating and maintaining a FeatureSet at every JavaScript script-level, it dynamically skips running unnecessary lowering passes. We detail the architectural safeguards -- including strategic pass ordering and dynamic validation of the transpiled code for feature-correctness. Evaluation of this improvement on large-scale production monorepos produced a considerable reduction in compilation time and saved compute and memory usage.