# 两名工程师用AI 3.5个月完成FedEx平台重建

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-24 01:07
- AIHOT 分数：40
- AIHOT 链接：https://aihot.virxact.com/items/cmrxs540m01xwroxpvmjqn8jk
- 原文链接：https://x.com/rohanpaul_ai/status/2080339103288352903

## AI 摘要

Limestone Digital团队用2名工程师在3.5个月内重建了FedEx供应商的交付编排平台，而原估计需7-8个月。他们首周未写代码，而是构建了覆盖模块、依赖、数据流和领域术语的全仓库知识图谱（markdown文件），AI智能体据此生成代码，最终约90%的代码由模型编写，122个合并PR均经人工审查。AI计算成本约每名开发者每月200美元，该团队被客户CTO评为公司内“表现最佳的团队”。

## 正文

Two forward deployed engineers rebuilt a live FedEx supplier's delivery platform in 3.5 months. The original estimate was eight.

Their advantage did not begin with faster code generation， but with a repository-wide knowledge graph covering modules， dependencies， data flows， and domain language.

2 years ago you'd need 5 engineers and double the timeline for this output.

They mapped the entire repository into markdown files covering modules， dependencies， and data flows.

Agents read that map first， so generated code matched the real architecture.

That structure kept every task inside a context window the model could hold.

Humans reviewed all 122 merged pull requests， and the models wrote about 90% of the code.

You set up that infrastructure and two engineers produce what used to take a full team.

Kudos to @mardehaym's Limestone Digital team.

### 引用推文

> Mark Ajzenstadt：A delivery orchestration platform that supplies FedEx, estimated 7 to 8 months to rebuild their core system. We delivered in 3.5 months with 2 engineers and 122...