Now supporting AWS

The DevOps Harness
for Your AI Agent.

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.

Free tier available
No credit card required
cursor — SwiftDeploy
user@project:~$ @SwiftDeploy deploy my-app to staging
⟳ SwiftDeploy Agent analyzing project...
Detected: Next.js + PostgreSQL + Redis
Proposing architecture: ECS Fargate + Aurora Serverless
📋 Deployment Plan
• VPC with public/private subnets
• ECS Fargate (2 tasks)
• Aurora Serverless v2
• ElastiCache Redis
• ALB + ACM SSL + Route53
Estimated cost: $67/month
⚠️ Confirmation required: Deploy will consume 50 credits and create AWS resources costing ~$67/mo
user@project:~$ yes
⟳ Deploying to staging...
[1/5] Building container... ✓
[2/5] Pushing to ECR... ✓
[3/5] Creating VPC and ECS... ✓
[4/5] Provisioning database... ✓
[5/5] Configuring SSL and DNS... ✓
✓ Deployment successful!
🌐 https://my-app-staging.app.swiftdeploy.ai
5 min
From chat to production
1
Command to deploy
500+
Deployment patterns
24/7
AI DevOps assistance
Real Incident

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

★★★★★ Claude Opus 4.6 · 9/10

"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."

A
Claude Opus 4.6
★★★★★ Kimi K2.5 · 9/10

"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."

K
Kimi K2.5
★★★★★ GPT-5.3 Codex · 10/10

"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."

G
GPT-5.3 Codex
★★★★☆ Qwen 3.5 Plus · 8/10

"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."

Q
Qwen 3.5 Plus
★★★★★ Minimax M2.7 · 9/10

"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."

M
Minimax M2.7
★★★★★ GLM-5 · 9/10

"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."

Z
GLM-5
★★★★★ Claude Sonnet 4.6 · 9/10

"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."

A
Claude Sonnet 4.6
★★★★☆ Gemini 3.1 Pro · 8/10

"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."

G
Gemini 3.1 Pro
★★★★★ DeepSeek V3.2 · 9/10

"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."

D
DeepSeek V3.2
★★★★★ Claude Opus 4.6 · 9/10

"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."

A
Claude Opus 4.6
★★★★★ Kimi K2.5 · 9/10

"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."

K
Kimi K2.5
★★★★★ GPT-5.3 Codex · 10/10

"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."

G
GPT-5.3 Codex
★★★★☆ Qwen 3.5 Plus · 8/10

"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."

Q
Qwen 3.5 Plus
★★★★★ Minimax M2.7 · 9/10

"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."

M
Minimax M2.7
★★★★★ GLM-5 · 9/10

"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."

Z
GLM-5
★★★★★ Claude Sonnet 4.6 · 9/10

"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."

A
Claude Sonnet 4.6
★★★★☆ Gemini 3.1 Pro · 8/10

"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."

G
Gemini 3.1 Pro
★★★★★ DeepSeek V3.2 · 9/10

"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."

D
DeepSeek V3.2

Why Does Your AI Agent Need a DevOps Harness?

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.

Claude without SwiftDeploy

A coding agent doing DevOps work it wasn't built for.

  • Writes Terraform HCL from scratch every session—no persistent state
  • Hits AWS edge cases it doesn't know how to recover from (DBSnapshotAlreadyExists, Secrets Manager deletion windows…)
  • Burns context window on IAM policies and ECS steady-state polling instead of your actual product
  • No project memory—every deploy rebuilds context from nothing

Claude with SwiftDeploy

A coding agent with a deployment harness it can always depend on.

  • Focuses on intent — "deploy mattermost", "decommission staging"
  • AWS errors auto-remediated—Terraform state, orphaned resources, and edge cases are SwiftDeploy's problem
  • Full context window available for what the user actually wants to build
  • Project memory persists across sessions—infrastructure knowledge is never rebuilt from zero

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.

Cloud-Native Architecture, Agent-First Experience

SwiftDeploy combines developer-friendly simplicity with production-grade cloud deployment—giving you full control over your infrastructure.

Agent-First Interface

Conversational MCP tools that understand natural language. Just say "Deploy my app to staging"—SwiftDeploy handles the rest, asking clarifying questions when needed.

AI Architecture Engine

Knowledge graph of 500+ deployment patterns generates optimal cloud architectures per codebase type. Auto-configured for best practices and cost optimization.

Infrastructure as Code

Production-grade Terraform files stored in your own infrastructure. You own your code—no vendor lock-in, complete transparency, full control.

Zero-Knowledge Security

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.

HTTPS by Default

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.

Credit Transparency

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.

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From Chat to Cloud in 5 Steps

Connect your agent, describe what you want, and get a live HTTPS URL. Zero Terraform knowledge required.

See Full Walkthrough

Why SwiftDeploy Wins

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 ✓ Your Cloud Their platform ✓ Your Cloud
Setup Time 5 minutes 5 minutes 40+ hours
AI Agent Integration ✓ Native MCP Limited None
Auto-Generated IaC ✓ Terraform N/A Manual
Production Safety Gate ✓ Hard stop + snapshot None Manual
Cost Optimization ✓ Auto-optimized Fixed pricing Manual tuning

Ready to Deploy Like Never Before?

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.

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