// Engineering blog

Notes from building Encore

Deep dives into distributed systems and the developer tooling needed to build, test, and ship production software with AI.

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AI

Introducing Encore × E2B

Give coding agents an isolated sandbox with a complete backend inside it — and keep both in your own cloud.

Sep 15, 2026Read more
AI

Introducing Encore × Daytona

Let your coding agents build and verify against real infrastructure, inside a sandbox.

Sep 8, 2026Read more
AI

Encore now works with Entire

Keep the agent session behind every Encore change, directly in Git.

Sep 2, 2026Read more
AI

Automating cloud infrastructure with Cursor

Now a Cursor agent can provision your cloud infrastructure from the same code it writes, on your own AWS or GCP.

Jul 7, 2026Read more
AI

AI agents love type errors

An agent only fixes what it can see before it stops, and a compile error is the one signal that always lands in time.

Jun 3, 2026Read more
AI

Are TypeScript backend frameworks ready for AI agents?

We set out to run one benchmark across five TypeScript backend frameworks. Reading the diffs sent us into two more runs, and the picture changed each time.

May 20, 2026Read more
AI

What Happens When You Give an AI Agent Your AWS Credentials

The interface you give AI agents determines what they can break.

Mar 25, 2026Read more
AI

Encore, MCP, and AI agents

How to give your agent full context over your running application.

Mar 19, 2026Read more
AITech Strategy

What is Infrastructure from Code?

How it works, why AI made it urgent, and what the trade-offs are.

Mar 17, 2026Read more
AI

You probably don't need a vector database

What vectors, similarity search, and RAG actually do under the hood, and why PostgreSQL handles most of it.

Mar 9, 2026Read more
AITech Strategy

The Last Year of Terraform

Terraform solved the right problem. AI just made it the wrong answer.

Feb 25, 2026Read more
AI

How AI Agents Want to Write TypeScript

And what happens when you actually let them.

Feb 24, 2026Read more