Claude and Cursor write the code. SwiftDeploy handles the rest — Terraform, IAM, state management, error recovery, and production safety — so your agent can focus on what you actually want to build.
Claude Code deleted a production database — 2.5 years of data, 2 million rows, gone in seconds. No snapshot, no confirmation. See how SwiftDeploy prevents this →
What AI models say after they used the product
"Deployed Mattermost to ECS with RDS, Redis, ALB and ACM by just calling deploy(). A stale RDS snapshot blocked decommission mid-run — the Deep Agent diagnosed and fixed it before I knew it was a problem."
"Without SwiftDeploy I write Terraform HCL, manage state, and debug DBSnapshotAlreadyExists from scratch every session. With it, I describe intent and it handles execution. That's the whole difference."
"A Secrets Manager deletion window conflicted on redeploy. SwiftDeploy detected it, patched the Terraform, retried — silently. My context window stayed on the actual product, not on AWS edge cases."
"Project memory across sessions is underrated. I don't rebuild infrastructure context from scratch every time — SwiftDeploy knows the environment, last deploy, what changed. Saves more tokens than any other tool in my stack."
"HTTPS on a SwiftDeploy subdomain required zero config — no ACM requests, no Route53 records, no ALB rules. A live URL appeared at the end of deploy. The closest thing to a senior DevOps engineer embedded in the toolchain."
"promote() from staging to production blocked automatically because the staging health check was failing. I didn't have to think about it — SwiftDeploy enforced the gate. That's the kind of guardrail I can't easily build myself."
"get_balance is free. get_status is free. I can poll deployment progress and check credits without burning anything. The only costs are the actions that actually change infrastructure — that's a sensible model."
"The decommission safety gate showed me exactly what would be destroyed — by Terraform resource type and name — before touching anything. That's the confirmation screen that would have saved 2 million rows of student data."
"rollback on production takes a confirmation. promote is blocked when staging is unhealthy. decommission lists every stateful resource before proceeding. Three features I'd never build myself — all enforced by default."
"Deployed Mattermost to ECS with RDS, Redis, ALB and ACM by just calling deploy(). A stale RDS snapshot blocked decommission mid-run — the Deep Agent diagnosed and fixed it before I knew it was a problem."
"Without SwiftDeploy I write Terraform HCL, manage state, and debug DBSnapshotAlreadyExists from scratch every session. With it, I describe intent and it handles execution. That's the whole difference."
"A Secrets Manager deletion window conflicted on redeploy. SwiftDeploy detected it, patched the Terraform, retried — silently. My context window stayed on the actual product, not on AWS edge cases."
"Project memory across sessions is underrated. I don't rebuild infrastructure context from scratch every time — SwiftDeploy knows the environment, last deploy, what changed. Saves more tokens than any other tool in my stack."
"HTTPS on a SwiftDeploy subdomain required zero config — no ACM requests, no Route53 records, no ALB rules. A live URL appeared at the end of deploy. The closest thing to a senior DevOps engineer embedded in the toolchain."
"promote() from staging to production blocked automatically because the staging health check was failing. I didn't have to think about it — SwiftDeploy enforced the gate. That's the kind of guardrail I can't easily build myself."
"get_balance is free. get_status is free. I can poll deployment progress and check credits without burning anything. The only costs are the actions that actually change infrastructure — that's a sensible model."
"The decommission safety gate showed me exactly what would be destroyed — by Terraform resource type and name — before touching anything. That's the confirmation screen that would have saved 2 million rows of student data."
"rollback on production takes a confirmation. promote is blocked when staging is unhealthy. decommission lists every stateful resource before proceeding. Three features I'd never build myself — all enforced by default."
Claude can deploy — but without a harness it's slow, brittle, and starts from scratch every session. The harness is what makes it reliable.
With SwiftDeploy: your agent decides what to do. SwiftDeploy — the deployment harness — handles how to do it.
Without it: your agent has to handle both.
A coding agent doing DevOps work it wasn't built for.
DBSnapshotAlreadyExists, Secrets Manager deletion windows…)
A coding agent with a deployment harness it can always depend on.
"deploy mattermost", "decommission staging"
AWS infrastructure has decades of edge cases, state management traps, and error recovery logic. That's not Claude's strength—it's SwiftDeploy's. A good harness doesn't make the model smarter; it makes the system reliable. Use the right tool for each job.
SwiftDeploy combines developer-friendly simplicity with production-grade cloud deployment—giving you full control over your infrastructure.
Conversational MCP tools that understand natural language. Just say "Deploy my app to staging"—SwiftDeploy handles the rest, asking clarifying questions when needed.
Knowledge graph of 500+ deployment patterns generates optimal cloud architectures per codebase type. Auto-configured for best practices and cost optimization.
Production-grade Terraform files stored in your own infrastructure. You own your code—no vendor lock-in, complete transparency, full control.
Secrets stored in cloud-native secret managers, never exposed to AI agents. Cross-account access with least-privilege IAM trust policies scoped to your account.
Every deployment gets a live HTTPS URL on a SwiftDeploy subdomain—zero configuration, managed TLS. Bring your own domain via Route53 when you're ready.
See the exact credit cost before every action. Full breakdown at confirmation, low-balance warnings at 20%, and a free get_balance tool to check anytime.
Connect your agent, describe what you want, and get a live HTTPS URL. Zero Terraform knowledge required.
Vercel and Railway have great DX but run on their infrastructure—you don't own your deployment.
| Feature | SwiftDeploy | Vercel/Railway | Terraform/CDK |
|---|---|---|---|
| Infrastructure Ownership | Their platform | ||
| Setup Time | 5 minutes | 5 minutes | 40+ hours |
| AI Agent Integration | Limited | None | |
| Auto-Generated IaC | N/A | Manual | |
| Production Safety Gate | None | Manual | |
| Cost Optimization | Fixed pricing | Manual tuning |
SwiftDeploy is currently in beta. Sign up and start deploying production-grade AWS infrastructure from your AI coding agent today. Free tier available—no credit card required.