Optimizing an IDE for an Evolving Language Ecosystem

Fuente: arXiv
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Auteurs principaux: Welc, Adam, Nowacki, Todd, Russi, Dario, Swords, Cameron, Zakian, Timothy A. K.
Format: Preprint
Publié: 2026
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author Welc, Adam
Nowacki, Todd
Russi, Dario
Swords, Cameron
Zakian, Timothy A. K.
author_facet Welc, Adam
Nowacki, Todd
Russi, Dario
Swords, Cameron
Zakian, Timothy A. K.
contents This paper describes a strategy for developing a high performance and feature-rich IDE for an evolving smart contract language ecosystem. Our target is Move, a programming language for the Sui smart contracts platform. The strategy we chose to support the Move language ecosystem utilizes Language Server Protocol (LSP) and it is based on the already existing "core" language machinery, in particular the core language compiler. We discuss alternatives we considered, as well as the evolution of our infrastructure that was necessary to keep up with the growth of the language ecosystem, particularly with respect to optimizations (and their impact) that needed to be implemented to accommodate this growth. We conclude with lessons learned during the IDE support development process that we hope will be beneficial for others attempting to follow a similar path.
format Preprint
id arxiv_https___arxiv_org_abs_2605_16664
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimizing an IDE for an Evolving Language Ecosystem
Welc, Adam
Nowacki, Todd
Russi, Dario
Swords, Cameron
Zakian, Timothy A. K.
Software Engineering
This paper describes a strategy for developing a high performance and feature-rich IDE for an evolving smart contract language ecosystem. Our target is Move, a programming language for the Sui smart contracts platform. The strategy we chose to support the Move language ecosystem utilizes Language Server Protocol (LSP) and it is based on the already existing "core" language machinery, in particular the core language compiler. We discuss alternatives we considered, as well as the evolution of our infrastructure that was necessary to keep up with the growth of the language ecosystem, particularly with respect to optimizations (and their impact) that needed to be implemented to accommodate this growth. We conclude with lessons learned during the IDE support development process that we hope will be beneficial for others attempting to follow a similar path.
title Optimizing an IDE for an Evolving Language Ecosystem
topic Software Engineering
url https://arxiv.org/abs/2605.16664