How AI Agents Want to Write TypeScript
Getting the most out of AI agents in TypeScript starts with how much structure your project gives them.
Read more: https://t.co/5ggbkw9YBo
Object Explorer.
Browse your buckets and preview, upload or delete objects in your deployed environments right from the dashboard, with read or write access scoped to each environment.
Give it a go → https://t.co/LdjV5CDBBk
We want to sponsor Rust maintainers and open-source projects across web development, infrastructure, and AI as we add first-class Rust support to Encore.
Who should be on our list?
Encore for Rust is now rolling out to a small group of teams.
We’re looking for teams running Rust on AWS or GCP that are exploring the use of AI agents at the cloud infrastructure layer.
Read more and request an invite: https://t.co/khV3cz1ZoV
Setting up cron jobs takes 10 seconds with Encore.
Setting up a database takes 10 seconds with Encore.
Setting up file storage takes 10 seconds with Encore.
Notice a pattern?
Holy crap 😲
We have a new sponsor for AdonisJS. Thanks @encoredotdev for the support 🫡
Meanwhile, these guys are building some really kick ass primitives for the infra layer. Check them out if you:
- Are building a Cloud and need a rock solid foundation
- Want to declare your infra using code
- Want to deploy to your own AWS/GCP account without touching Terraform
Encore is now a proud sponsor of @FastAPI / @tiangolo!
We're excited to be bringing FastAPI to Encore, making it easier than ever to build Python apps on AWS/GCP.
Sign up for early access: https://t.co/pehBdkaLWq
Encore lets you and your AI agents build, test locally and ship a backend to your own AWS and GCP cloud.
Comes with observability built in and no infrastructure code to write or maintain.
We ported miniredis, an in-memory Redis implementation, to roughly 25,000 lines of Rust and embedded it in the Encore runtime.
Local development and tests get a real cache with zero infrastructure, while the original test suite keeps our implementation compatible.
Pallet rebuilt its product into an AI-powered logistics platform for the enterprise.
Encore gave the team a production-grade backend and cloud infrastructure without pulling engineers into DevOps.
In this engineering write-up, we cover how we've rebuilt the Linux microVM stack on Apple Silicon so that we don't have to use 20 scripts, 7 commands and 3 rain dances to test changes.
(maybe we should've just moved everyone to Linux instead)
https://t.co/WKL6XsWmb7
The Anatomy of a Trace
A walkthrough of what happens from HTTP ingress to DB queries and how to utilize complete trace data to find exactly where your latency is hiding.
https://t.co/8ToOQLFGjA
Every pull request on Encore gets its own preview environment, with the database and Pub/Sub the code declares, so you can call the API your agent wrote before you merge it.