Cost.dev

What it does

Cost.dev integrates cloud cost awareness into coding agents and IDEs. It analyzes infrastructure-as-code files (Terraform, CloudFormation, AWS CDK) and returns real-time pricing estimates before code is deployed. Engineers can ask agents to compare cloud options, adjust resource types, or hit budget targets, and receive actual cost numbers inline rather than switching to separate calculators.

The tool supports over 1,000 services across AWS, Azure, and Google Cloud. It pulls pricing from cloud provider feeds continuously, accounting for region and SKU differences. Users can compare multi-cloud setups side-by-side—for example, the homepage shows a 3-tier app costing $847/month on AWS versus $612/month on GCP.

Who it is for

Primary users are engineering teams using AI coding agents (Claude, GitHub Copilot, Cursor, Gemini) or developers in IDEs (VS Code, JetBrains, Windsurf, Neovim). The tool targets organizations trying to prevent cost waste during the infrastructure design phase rather than discovering expenses after deployment. Teams with FinOps practices or cloud cost discipline are natural fits.

Pricing

A free tier includes a 14-day trial of Infracost Cloud with best practices and policy enforcement. No credit card required to start. Specific pricing tiers are not shown on the homepage.

How it stands out

The product evolved from Infracost, a five-year-old CLI tool that estimated infrastructure costs in pull requests. The shift to AI agents reflects real usage patterns the founders observed—coding agents were already calling their CLI but finding it misaligned with agent workflows. Cost.dev redesigns the experience for agent-native and IDE-native use, embedding cost reasoning into the development conversation rather than treating it as a separate check.

Quoted customers report concrete efficiency gains: one DevOps team finished a year's worth of labeling work in minutes; another prevented 95% of new cost issues before deployment.

What a founder should check

First, verify the competitive landscape. Infracost already dominated infrastructure cost estimation; competitors should understand whether Cost.dev's AI agent integration represents durable differentiation or a temporary advantage as incumbents add similar features.

Second, assess switching costs and integration depth. The tool works with multiple agents and IDEs, but examine how deeply embedded it becomes in developer workflows and whether teams face friction migrating cost policies and custom pricing rules if they switch vendors.

Third, evaluate the pricing moat. The free trial removes friction for adoption, but understand whether the cloud pricing data itself, the FinOps policy layer, or the agent integrations represent the real defensibility. Cloud providers could eventually build competing cost-awareness directly into their agent partnerships.