Devin vs chat2doc.cn：怎么选？

关于 Devin

A task of this magnitude, with the vast number of variations that it had, was a ripe opportunity for fine-tuning. The Nubank team helped to collect examples of previous migrations their engineers had done manually, some of which were fed to Devin for fine-tuning. The rest were used to create abenchmark evaluation set.Against this evaluation set, we observed adoubling of Devin’s task completion scores after fine-tuning, as well as a 4x improvement in task speed. Roughly 40 minutes per sub-task dropped to 10,which made the whole migration start to look much cheaper and less time-consuming, allowing the company to devote more energy to new business and new value creation instead.

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’s code migration was filled with the monotonous, repetitive work that engineers dread. Moving each data class implementation from one architecture to another while tracing imports correctly, performing multiple delicate refactoring steps, and accounting for any number of edge cases was highly tedious, even to do just once or twice. At Nubank’s scale, however, the total migration scope involved more than 1,000 engineers moving ~100,000 data class implementations over an expected timeline of 18 months.

Chat2Doc.cn是一款专注于文档交互的AI聊天工具，用户可以通过自然语言与上传的PDF、Word、Excel等文件进行对话，快速获取信息。其核心功能包括智能问答，能够理解文档内容并直接回答用户提出的问题，例如从合同或报告中提取关键数据；还支持多文档对比分析，帮助用户同时处理多个文件，找出差异或汇总要点。此外，它具备上下文记忆能力，可基于连续对话深入挖掘文档细节。这款工具适合需要频繁处理文档的办公人员、学生和研究者，尤其适用于合同审查、学术文献解读、数据分析报告梳理等场景，能显著提升信息检索和整理效率。