Septiembre AI

aurora DSQL
KVSs

Inspiration

I was constantly looking for ways to automate and speed up my work. For many years, I built no-code and low-code tools, but they never fully satisfied my curiosity. I started by creating Apiruns, a no-code service for building APIs, but it was difficult to understand and limited to a very small niche. I chose this project because it represents the evolution of my professional journey. It is part of my day-to-day work: delivering apps. Along the way, I found many challenges inside organizations, such as governance, flexibility, auditing, control, simplicity, and more.

What it does

Organizations are already creating reports, tools, and applications with artificial intelligence, but they still end up trapped on someone’s laptop. Septiembre takes them to production: governed, secure, and available to the entire organization.

How we built it

Septiembre was built with the help of different coding agents, using GitHub as the code repository, AWS as the cloud provider, and serverless services such as Aurora DSQL, DynamoDB, Cognito, API Gateway, Lambda, CloudFront, S3, CodeBuild, and others.

Challenges we ran into

During this journey, I faced different challenges, such as designing an architecture that could serve thousands of users, solving security problems, and limiting resource usage to avoid high costs

Accomplishments that we're proud of

Being able to see and use a production-ready version of Septiembre, and also knowing that it can help many people who create apps and tools with AI.

What we learned

The biggest challenge was routing private and public traffic with CloudFront multi-tenants, as well as handling custom domains. My biggest lesson learned is that most of the time, the answer to a problem is the most obvious one.