AI System for Infrastructure as Code Generation

Manual writing of Terraform or Ansible configurations means hundreds of lines of code, constant edits, and human errors. One forgotten output or an incorrect tag—and infrastructure collapses. We solved this problem: developed an AI system that generates ready IaC code from a text description of requirements. Over our work, we've deployed it on a dozen projects and reduced configuration creation time by 80%. "Our infrastructure is now described in code in 10 minutes instead of 4 hours" — Senior DevOps engineer of one client. Want the same? Contact us for a consultation.

What Problems We Solve

How AI Generation Handles Outdated Syntax

LLMs often use deprecated Terraform resources. Solution: we explicitly pass the provider version (e.g., AWS provider 5.x) in the prompt, and after generation run terraform validate and tflint. If errors occur, we send them back to the model with context.

Security Anti-Patterns

Open security groups, missing encryption at rest. After generation, we run checkov—it finds problematic blocks. If detected, the model rewrites the configuration with vulnerability notes.

Hardcoded Credentials

LLMs sometimes insert placeholders like access_key = "AKIAXXXXXXX". We grep for patterns AKIA, secret, password before PR. Found strings are replaced with Vault variable references.

What Security Checks Do Generated Configurations Pass?

After generation, a full validation cycle runs: terraform validate, tflint, checkov, trivy for images in Kubernetes. If vulnerabilities are found, the model fixes them automatically. Additionally, we grep for hardcoded credentials. All configurations pass security checks before deployment.

How AI IaC Generation Works in Practice

Case: Generation of an ECS cluster with Fargate. The client needed to deploy a microservice with ALB, 2-4 Fargate replicas, RDS PostgreSQL, and VPC. Description took 10 minutes, the system generated a full Terraform module of 300 lines. After validation and one iteration—ready code that passed security scan with no issues. Manually, this would have taken 2 days. Budget savings exceeded 40% due to reduced man-hours. The system supports AWS, Azure, and GCP—each provider has its own validators and prompts.

Why AI Generation Is Faster Than Manual Writing

Comparison: a typical 200-line Terraform configuration.

Work Process

1. Analytics — gather requirements: cloud (AWS/Azure/GCP), services, scaling, budget.
2. Design — select generation template, set up prompts and validators.
3. Implementation — run generation, iteratively fix errors.
4. Testing — terraform plan, ansible-playbook --check, kubectl apply --dry-run=client.
5. Deployment — apply configuration, set up CI/CD for automatic updates.
6. Support — drift monitoring, provider updates, regeneration when requirements change.

What's Included in the Work

• Generation of Terraform, Ansible, Kubernetes manifests from your description
• Code validation: terraform validate, tflint, checkov, ansible-lint
• Drift detection and automatic PRs with fixes
• Documentation: module descriptions, variables, outputs
• Team training on working with the system
• 3 months of support after implementation

Typical Errors in AI Generation and How to Avoid Them

• Hardcoded credentials — always grep for AKIA, secret and replace with variables.
• Missing tags — every resource should have Environment, Project, ManagedBy tags. Add this to the prompt.
• Incorrect CIDR blocks — LLMs often generate overlapping subnets. Use cidrsubnet in the prompt or validate with terraform validate.
• Missing RDS replication — explicitly state multi_az = true in requirements.

Timeline and Pricing

Timeline: 3 to 10 days to set up generation for your project. Pricing is calculated individually—depends on infrastructure complexity and number of modules. We'll assess your project for free—just describe the task. We have over 5 years of experience and have implemented 15+ IaC automation projects. We guarantee that the generated code will pass all security checks.

Order an audit of your IaC strategy—we'll select a solution for your infrastructure. Get a consultation today.