Defang plans are now based on the number of cloud accounts you deploy into, not the number of people using Defang. Here's why account-based pricing better reflects how teams—and AI agents—build today.
When we first introduced Defang, charging per user made sense. Most applications were deployed by individual developers or small teams, and the people using Defang were the same people writing the code.
That world is changing.
Today, a single cloud account might be used by a team of engineers, CI/CD pipelines, autonomous coding agents, or all three. Defang isn't just helping people deploy applications anymore—it's helping software deploy software.
As we've watched customers adopt these new workflows, it's become clear that charging per user no longer reflects how Defang creates value.
So we're changing our pricing.
From users to cloud accounts
Starting today, Defang plans are based on the number of cloud accounts you deploy into, rather than the number of people using Defang.
Why?
Because the cloud account is the resource that Defang manages.
Whether one developer deploys into an AWS account, or an entire engineering organization does, or a fleet of AI agents continuously ships changes there, Defang is managing the same deployment environment.
The cloud account has become the natural unit for pricing.
Better for teams—and for agents
This change has another important benefit: it removes friction around collaboration.
You shouldn't have to think twice before inviting another teammate to help debug a deployment, review infrastructure, or ship a feature.
Likewise, as AI agents become an increasingly important part of the software development lifecycle, it doesn't make sense to treat every agent as another "user" that requires its own license.
People, agents, and automation should be able to work together without changing your bill every time you add another participant.
What this means
With account-based pricing:
- Invite as many teammates as you need.
- Use as many AI agents and automation tools as your workflows require.
- Pay based on the cloud accounts where Defang is managing deployments.
If you deploy into one AWS account, you're paying for one managed environment. If you deploy into multiple AWS, Azure, GCP, or DigitalOcean accounts, your plan scales with the number of environments you're managing—not the number of humans (or agents) involved.
Our philosophy hasn't changed
Our goal has always been to make cloud deployment dramatically simpler.
We believe pricing should reflect the value we provide, and it should encourage collaboration—not discourage it.
As software teams evolve to include both humans and AI agents, we want Defang's pricing model to evolve alongside them.
Charging by cloud account better reflects how customers use Defang today, and where software development is headed tomorrow.
As always, we'd love to hear your feedback. If you have questions about how this affects your account, please reach out—we're happy to help.
Related posts

Deploy AI Agents to Any Cloud Account: Open-Sourcing Our Providers and Adding Azure
We're open-sourcing the per-cloud Pulumi providers that power Defang's deployment system and adding Azure to the supported set. One Compose file, one command, any customer's cloud — including managed LLMs, databases, and Redis mapped automatically.

An AI Agent That Reads Your Repo and Writes Your Compose File
The Defang Portal now includes an AI-powered Compose file generator. Point it at a GitHub repo, and an agent analyzes your code, reads your dependencies, and produces a production-ready compose.yaml. You can also watch the work happen in real time.

n8n is blowing up. Here's how to deploy it to AWS in minutes.
Learn about n8n, how it's revolutionizing AI, and how to deploy it securely to your AWS account in 5min.