LATAM

Tufud

E-commerce
A tool designed to connect retailers with suppliers. We migrated a critical microservice in less than a month, reducing infrastructure costs by 40% and improving performance and resilience.
Microservices
AI-Assisted Development

7 Days

First live customer

1 Month

Full Migration

-40%

Infrastructure Costs

How do you

help you?

Microservices

AI-Assisted Development

Challenge

Tufud’s integrations microservice was a Spring Boot server responsible for connecting to third-party ERPs. The problem: no observability, no resilience strategies, and a stack that was oversized for the project’s actual scope. Every error was a mystery, every traffic spike crashed the system, and the infrastructure costs were out of proportion to what was needed. The technical team was working part-time and lacked expertise in Spring Boot, just as several clients were about to migrate to new ERPs. It was urgent to establish a solid foundation before that happened.

Solution

We used spec-driven development with Claude Code to analyze the existing microservice as the source of truth, define the scope, and develop the new service in Go using AWS Fargate. The process was divided into four stages: analysis, development and validation, testing with the first customer in production, and full rollout. All of this was carried out by one senior developer working part-time.
What was the

result?

In less than a month, what had been a constant source of frustration for Tufud and its customers was resolved.
Reports of integration-related errors dropped by 93%, incident resolution is now 95% faster thanks to the observability measures we've implemented, and fixed infrastructure costs fell by 40%. The team can operate with confidence and scale without hesitation.
-93% error reports
-40% on AWS costs
95% faster error resolution
9K LOC · 80 commits
Real-time operations
Team

Setup

Backend Developer
AI-assisted developer

Technologies

we use

AI Development

Claude Code

Backend

Go

Infrastructure

AWS Fargate

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