# Why AI-Assisted Development Exposes Terraform's Infrastructure Provisioning Bottleneck

DevFeed: [Why AI-Assisted Development Exposes Terraform's Infrastructure Provisioning Bottleneck](<https://devfeed.tech/articles/the-last-year-of-terraform-17817.md>)

Original publisher: [Read original article](<https://encore.dev/blog/last-year-of-terraform>)

Author: Ivan Cernja

Published: 2026-02-25T00:00:00Z

Content type: opinion

Language: en

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

Topics: [Terraform](<https://devfeed.tech/topics/terraform.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [development](<https://devfeed.tech/tags/development.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [terraform](<https://devfeed.tech/tags/terraform.md>), [typescript](<https://devfeed.tech/tags/typescript.md>), [writing-code](<https://devfeed.tech/tags/writing-code.md>)

## AI overview

The article argues that AI-assisted development has made Terraform-based infrastructure provisioning a bottleneck. Although AI agents can generate application and Terraform code quickly, separate infrastructure and application workflows still require multiple reviews, plan/apply cycles, staging verification, and synchronization between codebases.

## Source excerpt

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