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Table of Contents

• ↓ How Nubank refactors millions of lines of code to improve engineering efficiency with Devin
• ↓ Overview
• ↓ The Problem
• ↓ The Decision: an army of Devins to tackle subtasks in parallel
• ↓ The Solution: Custom ETL Migration Devin
• ↓ Build with Devin
• ↓ Top Alternatives to devin.ai

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"One of Nubank’s most critical, company-wide projects for 2023-2024 was a migration of their core ETL — an 8 year old, multi-million lines of code monolith — to sub-modules. To handle such a large refactor, their only option was a multi-year effort that distributed repetitive refactoring work across over one thousand of their engineers. With Devin, however, this changed: engineers were able to delegate Devin to handle their migrations and achieve a 12x efficiency improvement in terms of engineering hours saved, and over 20x cost savings. Among others, Data, Collections, and Risk business units verified and completed their migrations in weeks instead of months or years."

"Nubank was born into the tradition of centralized ETL FinServ architectures. To date, the monolith architecture had worked well for Nubank — it enabled the developer autonomy and flexibility that carried them through their hypergrowth phases. After 8 years, however, Nubank’s sheer volume of customer growth, as well as geographic and product expansion beyond their original credit card business, led to an entangled, behemoth ETL with countless cross-dependencies and no clear path to continuing to scale."

"For Nubankers, business critical data transformations started taking increasingly long to run, with chains of dependencies as deep as 70 and insufficient formal agreements on who was responsible for maintaining what. As the company continued to grow, it became clear that the ETL would be a primary bottleneck to scale."

"Nubank concluded that there was an urgent need to split up their monolithic ETL repository, amassing over 6 million lines of code, into smaller, more flexible sub-modules."

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How Nubank refactors millions of lines of code to improve engineering efficiency with Devin

Overview

The Problem

The Decision: an army of Devins to tackle subtasks in parallel

The Solution: Custom ETL Migration Devin

Build with Devin