Launching your personal assistant with Expo + AWS + Mastra + Langwatch

Hey everyone, I wanted to share an implementation guide of a Personal assistant using Expo, Mastra, Langwatch and AWS S3/lambda/Cloudfront.

Any critical feedback would be appreciate it!

Core: Expo, Mastra, AWS Lambda, Cloudfront
Data sources: Vantage Pro 2 - Davis instruments
Authentication: Clerk.
Automation: Terraform (IaC), Testing scenarios (LangWatch)
SDK: @ai-sdk/google

Link to repo:

https://github.com/warike/expo-lambda-s3-gemini

GitHub

GitHub - warike/expo-lambda-s3-gemini: Launching your personal assistant

Launching your personal assistant. Contribute to warike/expo-lambda-s3-gemini development by creating an account on GitHub.

Link to post

https://dev.to/sergioestebance/launching-your-personal-assistant-2blp

Link to Linkedin (likes and repost are welcomed!)

https://www.linkedin.com/feed/update/urn:li:activity:7406609562721538048

Hi , kudos for sharing this here.

It'd be even better if you include a summary or excerpt from the blog post as a hook to get readers excited. The most valuable posts on the Community often thrive on discussions so it's better we put forward talking points.

I'm curious what led you to AWS Lambda instead of Vercel functions?