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Platform Engineering AI Agent

Watch our agentsprompt infrastructure as code, live

Describe the infrastructure you need in plain language — our AI agent generates, validates, and provisions production-ready Terraform across 30+ services on AWS, GCP, and Azure.

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AI Agent Execution
Running
IaC – AWS VPC Provisioning & Validation
1 / 1
AI Agent Session
Agentic Infrastructure as Code

From a Plain-Language Prompt to
Validated, Live Infrastructure

No provisioning catalog to click through. Describe the infrastructure you need and an AI agent takes it from request to a deployed, verified resource — across AWS, GCP, and Azure.

01

Describe What You Need

Prompt the agent in plain language — “give me a production VPC with NAT and private subnets on AWS” — no ticket, no form.

02

Agent Plans the Primitives

The agent maps your request to the right cloud and service — AWS, GCP, or Azure — and the best-practice configuration for it.

03

Terraform Generated & Validated

Production-ready Terraform is generated and checked against policy and best practices before anything is applied.

04

Deploy & Verify

Deployment runs automatically, then the agent confirms every resource is live and correctly wired in the cloud console.

Multi-Cloud Coverage

One Agent. Three Clouds.
30+ Services.

The same prompt-to-Terraform flow works across AWS, GCP, and Azure — the agent isn't wired to one cloud or one service. Below is a representative slice of what it provisions today.

AWS
VPC
EKS
RDS
Lambda
IAM
EC2
+ 4 more services
GCP
VPC
GKE
Cloud SQL
Cloud Functions
IAM
Compute Engine
+ 4 more services
Azure
VNet
AKS
Azure SQL
Functions
Entra ID
Virtual Machines
+ 4 more services
One Service, Up Close: AWS VPC

Every Networking Component,
Defined as Code

Here's what that agentic flow looks like for one of the 30+ supported services — a single AWS VPC prompt configures the full stack of networking primitives an environment needs, no clicking through the console component by component.

Amazon VPC

The isolated virtual network every other resource is provisioned inside.

Public Subnets

Internet-facing subnets for resources that need direct inbound access.

Private Subnets

Internal subnets for workloads kept off the public internet.

Intra Subnets

Isolated subnets for traffic that never needs to leave the VPC.

Route Tables

Traffic rules that define how each subnet reaches the rest of the network.

NAT Gateway

Lets private subnet resources reach the internet without being exposed to it.

DNS Hostnames

DNS resolution and hostname settings configured for the VPC.

VPN Gateway

Secure connectivity settings back to on-premise or other networks.

Deploy & Validate

Deployed, Then Verified
Across Every AZ

With the Terraform state backed by S3 and a target region set, deployment runs directly from the portal. The result is validated in the AWS Console, and every subnet, route table, and network connection is visualized across multiple Availability Zones.

backend "s3" · region configured
VPCVPN GWAvailability Zone APublic SubnetNAT GWPrivate SubnetIntra SubnetRouteTableAvailability Zone BPublic SubnetNAT GWPrivate SubnetIntra SubnetRouteTable

Key Outcome

Cloud infrastructure provisioned, managed, and verified through an IaC-driven approach — consistent, repeatable, and scalable AWS network deployments, every time.

Trusted by forward-thinking teams

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FAQ

Frequently Asked Questions

Everything you need to know about the Platform Engineering AI Agent with DevSecCops.ai — and if it's not here, our team is one message away.

Q01How does the Platform Engineering AI Agent actually work?

You describe what you need in plain language - "give me a production VPC with NAT and private subnets on AWS" - and the agent maps that request to the right cloud and service, generates production-ready Terraform, validates it against policy and best practices, then deploys and verifies every resource is live and correctly wired. No provisioning catalog, no ticket, no clicking through the console.

Q02Which clouds and services does this actually support?

AWS, GCP, and Azure, with 30+ services across all three today — the same prompt-to-Terraform flow, not three separate tools. That spans core primitives like VPC/VNet networking, managed Kubernetes (EKS, GKE, AKS), managed databases (RDS, Cloud SQL, Azure SQL), serverless functions, and IAM/identity across each cloud.

Q03Is the generated Terraform actually production-ready, or does it need manual cleanup afterward?

It's checked against policy and best-practice configuration before anything gets applied — validation happens before deployment, not as a fix-it-later step. For example, a single VPC prompt configures the full networking stack — public, private, and intra subnets, route tables, NAT gateway, DNS settings — the way a properly architected environment would be built manually, just without doing it component by component in the console.

Q04How do you know the infrastructure was actually deployed correctly?

After deployment, the agent confirms every resource is live and correctly wired by checking it directly in the cloud console — not just assuming the Terraform apply succeeded. For a VPC deployment specifically, that means every subnet, route table, and network connection gets visualized and verified across multiple Availability Zones.

Q05Where is the Terraform state managed?

State is backed by S3, with your target region configured, and deployment runs directly from the portal — so state management isn't something you're separately wiring up or tracking outside the agent's flow.

Q06Can the agent provision multi-AZ, production-grade networking, or just single-resource basics?

Production-grade — the AWS VPC example on this page shows a full networking stack spread across multiple Availability Zones: public and private subnets, NAT gateways, and route tables per zone, not a flattened single-AZ setup. It's built to the pattern a real production environment needs, not a simplified demo version.

Q07Do we need to already know Terraform to use this?

No — that's the point of the plain-language prompt step. You describe the infrastructure outcome you want, and the agent handles mapping that to the right service, generating the Terraform, and validating it. You don't need to know the underlying HCL syntax or provider-specific configuration to get a correct result.

Q08What happens if the requested infrastructure doesn't match policy or best practices?

The generated Terraform gets checked against policy and best practices before anything is applied, so a misconfigured or non-compliant request is caught at the validation step rather than reaching the deploy step. This is a gate in the flow, not an after-the-fact audit of what already went live.

Q09Is this limited to networking, or does it cover compute, databases, and other services too?

Networking is just the deep-dive example on this page — the agent covers 30+ services across each cloud, including compute (EC2, GCE, Azure VMs), managed Kubernetes, managed databases, serverless functions, and IAM. The VPC walkthrough shows the level of detail per service; the same approach applies across the rest of the supported service list.

Platform Engineering AI Agent

Ready to Prompt Your
Infrastructure Into Existence?

Talk to our platform engineering team about AI-agentic IaC generation across AWS, GCP, and Azure — Terraform state management, and centralized infrastructure validation, for 30+ services and counting.

AWS, Azure & GCP certified engineers
Kubernetes, CI/CD & platform automation
Security, compliance & cost optimisation

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