Backend infrastructure for humans and agents, in your own cloud.

Joined February 2020
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16 Dec 2025
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.
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Fastest way to get a real backend onto AWS today is to let an agent write it. It declares what it needs in TypeScript, runs git push, and Encore provisions it in your own AWS account. A few cents in tokens and no Terraform, or console.
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To celebrate hitting 12,000 GitHub stars, we're giving back. Encore exists so engineers spend less time on infrastructure and more time building - increasingly alongside AI. In that spirit, we're giving away a month of Claude Max. To enter: → Follow @encoredotdev → Like the post & comment with what you're building We'll pick a winner next Friday - thank you for being part of this.
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We're looking for someone who's great on camera and knows their way around AI and backend infrastructure. If that's you, or you know someone, please tag them in the comments or send us a DM.
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Encore retweeted
Using @encoredotdev with Claude Fable is without a doubt the fastest, and safest way to build backends on AWS/GCP.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Feature showcase: automated preview environments When you build on Encore, every pull request gets its own cloud environment on real infrastructure, so reviewers can test the change against real data and verify migrations before it merges.
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We’re hiring a small number of exceptional people, across engineering and go-to-market, to build backend infrastructure for humans and agents. We’ve grown more in the last few months than the previous four years combined, with thousands of developers building on Encore and billions of requests processed by applications running in production. If helping make this the default way teams build and ship in the cloud sounds like your kind of problem, link below.
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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 👇
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Why agents love type errors: encore.dev/blog/type-errors-…

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Your framework's defaults shape what AI agents ship more than any prompt or library on top. If you're letting AI write your backend code in 2026, the framework you pick matters more than you think. Read more: encore.dev/blog/ai-benchmark
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a small PR is a reviewable PR. how big is your last infra change?
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somewhere right now an agent is provisioning a kubernetes cluster to run a cron job and the PR is going to get approved
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infrastructure as code was a great idea right up until the code started writing itself
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Encore retweeted
Encore now integrates with @polar_sh - the easiest way to monetize your product, meets the easiest way to build your backend. Read more and get started: encore.cloud/integrations/po…
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the best Terraform is the Terraform you never had to write
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We are about to hit 12,000 stars on GitHub and would love to thank everyone who was with us along the way. Stay tuned for a lot of incredible things lined up - more on that soon 🫶 github.com/encoredev/encore
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