# How Project Structure Helps AI Agents Write Consistent TypeScript Backends

DevFeed: [How Project Structure Helps AI Agents Write Consistent TypeScript Backends](<https://devfeed.tech/articles/how-ai-agents-want-to-write-typescript-17858.md>)

Original publisher: [Read original article](<https://encore.dev/blog/typescript-ai>)

Author: Ivan Cernja

Published: 2026-02-24T00:00:00Z

Content type: article

Language: en

Sources: [Encore Updates](<https://devfeed.tech/sources/encore-updates.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [backends](<https://devfeed.tech/topics/backends.md>), [Framework](<https://devfeed.tech/topics/framework.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [backend](<https://devfeed.tech/tags/backend.md>), [fragmentation](<https://devfeed.tech/tags/fragmentation.md>), [framework](<https://devfeed.tech/tags/framework.md>), [typescript](<https://devfeed.tech/tags/typescript.md>)

## AI overview

The article argues that AI agents often create inconsistent TypeScript backends because projects offer many valid choices for frameworks, validation, databases, and infrastructure. It presents Encore.ts as a framework that uses typed APIs, declared infrastructure, and consistent service structure to guide agents toward existing project patterns and business logic.

## Source excerpt

And what happens when you actually let them.