Optimizing Compilation Times for an Elixir Monolithic Codebase

An inefficiently compiled codebase can harm the developer experience, the continuous integration process, and increase organizational costs. Addressing this problem may be challenging, requiring expertise and time to identify, resolve, and prevent the concerns. This paper presents how Remote manages the compilation time of its large-scale monolithic codebase.

Authors

Institutions

Publication Details

Published
2025-09-23
DOI
https://doi.org/10.5753/se4fp.2025.13530
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Compilation Times for an Elixir Monolithic Codebase

Lívia Barbosa
Advanced Data Storage Technologies
article

Optimizing Compilation Times for an Elixir Monolithic Codebase

Lívia Barbosa
article en

Abstract

An inefficiently compiled codebase can harm the developer experience, the continuous integration process, and increase organizational costs. Addressing this problem may be challenging, requiring expertise and time to identify, resolve, and prevent the concerns. This paper presents how Remote manages the compilation time of its large-scale monolithic codebase.

Remote Sensing Technology Center of Japan (JP)
Openalex Percentile: Top 67%
Advanced Data Storage Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing Compilation Times for an Elixir Monolithic Codebase — Lívia Barbosa · (2025) | TGRS Research Map | TGRS