All the best {API,system,product} designs I've seen are the result of intense collaboration between producer and consumer. So why is this so rare? So many APIs I come across appear to have been designed primarily with the implementor's needs in mind.

The best feedback an AI coding agent can get is a type error. → fires before the code runs → points at the exact line → the agent fixes it itself Most backend infra is stringly-typed, so the compiler never sees the mistake - we've written about it in our recent article 👇

You can now add Redis to your Encore app with a few lines of TypeScript (or 1 prompt). When you deploy it via Encore Cloud, it becomes a fully managed ElastiCache / Memorystore instance in your own AWS/GCP.

We love having awesome engineering teams as customers, and the Pallet team is definitely one of the best we've worked with. In the last year they've completely reworked their product to become a fast-growing AI-based logistics platform for the enterprise. This meant re-architecting their entire system and launching an event-driven architecture on Google Cloud. All without touching Terraform. Check out the full story: encore.cloud/customers/palle…

When AI helps you ship features in minutes, slow infrastructure becomes insanely expensive. Not in cloud spend, in lost velocity. That’s why we’re building Encore Cloud: simple development and infrastructure mangement, for your own AWS/GCP. Example: You can now move services between GCP Cloud Run instances in one click or spin up new ones instantly. No code changes. No IaC.

Encore gives you distributed tracing without writing instrumentation code. Every API call, database query, and pub/sub message traced automatically. Works locally and in production.

"The thing that was hard was getting it into prod because I had to fight all these legacy dashboards and tools." @theo said this in his recent Claude Code video. We already solved this for AWS/GCP at @encoredotdev.

We just released Encore Skills for Claude Code - a plugin that gives @claudeai the context it needs to write Encore apps even faster, and more efficient. For those who haven't tried Encore yet, this means writing "add an S3 bucket" is essentially enough for Claude to create one and have it show up in your AWS account. Check it out here: github.com/encoredev/skills

Announcement blog post: encore.dev/blog/encore-cloud…

Introducing Encore Cloud 2.0: The development platform for the AI era We believe infrastructure and operations need to keep pace with code generation. Over the past few years, 100 engineering teams have adopted Encore in production and ship more efficiently because infrastructure isn't a bottleneck anymore. Databases, queues, IAM roles, networking, gateways, tracing - all automatic, in their AWS or GCP accounts, with production guardrails built in. Encore Cloud 2.0 takes this foundation further - with enhanced visibility, service catalogs, and MCP integration so both teams and AI agents have the context they need. Everything deploys as standard cloud resources in your cloud account with just a few lines of Encore code to declare what you need - without infrastructure lock-in. Read more in our announcement post below.

We created a guide on building secure AI code execution infrastructure using @daytonaio w/ Encore. Includes: - Run AI-generated code in isolated sandboxes - Auto-provisioned PostgreSQL database - Built-in distributed tracing - Deploy with git push Link: encore.dev/blog/daytona-tuto…

We use @clerk for Encore Cloud and Leap, so why not help our users use it to?

We created a comprehensive guide on setting up authentication with @better_auth @DrizzleORM Encore. What you get: - Secure sessions & password hashing - Type-safe from DB to API - Auto-provisioned Postgres - Deploy with git push - Built-in tracing & API docs Link: encore.dev/blog/betterauth-t…

happy to announce we've hired a new marketing intern!

I've rebuilt Apple Notes and deployed it to AWS in less than 30 minutes using @encoredotdev and @cursor_ai. Crazy times we live in. Happy to take any questions. (No, it's not Electron, it's a native MacOS app)

We built Debug Mode from decades of engineering experience so the AI debugs like a real developer: reproducing the issue, diagnosing the root cause, applying a fix, and validating the result.

Leap now has a built-in Database Explorer — Launch Week Day 2. Browse tables. Edit records. Run SQL queries. All inside Leap. No more switching between tools. Read the full announcement 👇

Huge improvements rolling out, let me know what you think.

1 year ago we first spoke with @Groupon, now they’re now all-in on Encore Cloud⚡️ - 3x faster dev - 90% shorter time to market - infra setup: weeks → minutes case study in comments

add a postgres database to your app with one line of code, deploy to aws/gcp automatically or self-host it anywhere

huge announcement, encore is still open source