We benchmarked Terraform HCL and Pulumi TypeScript across two LLMs. HCL uses fewer tokens, but Pulumi's total pipeline cost is 41% lower.

The Pulumi blog provides developers with resources, tutorials, and best practices for infrastructure as code (IaC) and cloud-native development using Pulumi's open-source tools. Developers can learn about deploying and managing infrastructure using familiar programming languages such as JavaScript, TypeScript, Python, and Go. Additionally, the blog covers topics such as cloud architecture patterns, multi-cloud deployments, and serverless computing, enabling developers to build and deploy modern cloud applications with ease.

Pulumi

A benchmark comparing Terraform HCL and Pulumi TypeScript for AI agent-driven infrastructure workflows across Claude Opus 4.6 and GPT-5.2-Codex. HCL produces 21-33% fewer tokens for simple generation, but Pulumi's total pipeline cost is 41% lower with Claude Opus because it avoids self-repair cycles during refactoring. Pulumi refactoring passed deployment validation 5/5 times with Opus and 4/5 with Codex, while Terraform refactoring with Codex produced zero deployable code. The key insight: HCL's token advantage applies to single-shot generation, but Pulumi's use of general-purpose TypeScript patterns gives LLMs better cognitive footing for refactoring and modularization tasks, which dominate agentic workflows.

Token Efficiency vs Cognitive Efficiency: Choosing IaC for AI Agents

These two goals pull in opposite directions