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tech_docs/CUE_your_new_friend.md
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# **The Complete Technical Guide to CUE (Configure-Unify-Execute)**
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*A structured, practical, and comprehensive introduction to CUE—covering core concepts, real-world applications, and best practices.*
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---
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## **1. Introduction to CUE**
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### **What is CUE?**
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CUE (**Configure-Unify-Execute**) is an **open-source data constraint language** developed at Google. It is designed for:
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- **Configuration management** (Kubernetes, Terraform, CI/CD)
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- **Data validation** (API schemas, input sanitization)
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- **Code generation** (Dockerfiles, Kubernetes manifests, SQL schemas)
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- **Policy enforcement** (security rules, compliance checks)
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Unlike YAML/JSON, CUE merges **types, values, and constraints** into a single model, enabling **deterministic, reproducible configurations**.
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### **Why CUE Over Alternatives?**
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| Tool | Strengths | Weaknesses vs. CUE |
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|--------------|-----------------------------|---------------------------------|
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| **YAML** | Human-readable, widely used | No validation, no logic, fragile |
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| **Jsonnet** | Templating, code reuse | Slower, no built-in validation |
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| **HCL** | Terraform integration | Less flexible for non-TF use |
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| **Pulumi** | Full programming model | Complex, runtime-dependent |
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| **CUE** | **Validation + unification** | Steeper initial learning curve |
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---
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## **2. Core Concepts**
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### **The CUE Lattice**
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CUE’s power comes from its **lattice structure**, where:
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- **`_` (Top)**: Accepts any value (e.g., `string`, `int`, `{}`).
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- **`_|_` (Bottom)**: An invalid/conflicting value (error state).
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- **Unification (`&`)** combines constraints (like logical AND).
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- **Disjunction (`|`)** allows alternatives (like logical OR).
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**Example:**
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```cue
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#Schema: {
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name: string & =~"^[A-Z][a-z]+$" // Must start with uppercase
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age: int & >0 & <120 // Age between 0 and 120
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role?: "admin" | "user" // Optional role
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}
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valid: #Schema & { name: "Alice", age: 30 } // ✅ Valid
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invalid: #Schema & { name: "alice", age: 150 } // ❌ Fails (name, age)
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```
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---
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## **3. Getting Started**
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### **Installation**
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```bash
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# Install CUE
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brew install cue-lang/tap/cue # macOS
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sudo apt-get install cue # Debian/Ubuntu
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go install cuelang.org/go/cmd/cue@latest # Go users
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# Verify
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cue version
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```
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### **Basic Workflow**
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1. **Define schemas** (`.cue` files).
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2. **Validate data** (`cue vet`).
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3. **Export to JSON/YAML** (`cue export`).
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**Example:**
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```cue
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// schema.cue
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#Person: {
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name: string
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age: int & >=18
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}
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// data.json
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{ "name": "Bob", "age": 25 }
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# Validate
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cue vet schema.cue data.json # ✅ Passes
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```
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---
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## **4. Real-World Use Cases**
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### **Case 1: Kubernetes Configuration**
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**Problem**: YAML files are brittle and hard to validate.
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**Solution**: Define a reusable schema.
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```cue
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// k8s.cue
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#Deployment: {
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apiVersion: "apps/v1"
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kind: "Deployment"
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metadata: name: string
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spec: {
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replicas: int & >=1
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template: spec: containers: [{
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name: string
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image: string & =~".+:.+"
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}]
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}
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}
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myapp: #Deployment & {
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metadata: name: "webapp"
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spec: replicas: 3
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spec: template: spec: containers: [{ name: "app", image: "nginx:latest" }]
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}
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# Export to YAML
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cue export k8s.cue -e myapp --out yaml > deploy.yaml
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```
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### **Case 2: Terraform Guardrails**
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**Problem**: Prevent invalid cloud configurations.
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**Solution**: Enforce AWS/GCP policies.
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```cue
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#AWS: {
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region: "us-east-1" | "us-west-2"
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instanceType: "t2.micro" | "t3.medium"
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}
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my_vm: #AWS & {
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region: "us-east-1"
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instanceType: "t2.micro" # ✅ Valid
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}
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invalid_vm: #AWS & {
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region: "eu-west-1" # ❌ Fails (invalid region)
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}
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```
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### **Case 3: CI/CD Pipeline-as-Code**
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**Problem**: YAML-based pipelines are hard to maintain.
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**Solution**: Define pipelines in CUE.
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```cue
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#Pipeline: {
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steps: [...{
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name: string
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cmd: string
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}]
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}
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my_pipeline: #Pipeline & {
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steps: [
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{ name: "build", cmd: "go build" },
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{ name: "test", cmd: "go test" },
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]
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}
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# Generate GitHub Actions YAML
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cue export pipeline.cue --out yaml > .github/workflows/ci.yml
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```
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---
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## **5. Debugging & Best Practices**
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### **Debugging Unification Errors**
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- Use `cue eval -v` to trace unification steps.
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- Check for `_|_` (bottom) in output—indicates conflicts.
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### **Best Practices**
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1. **Modularize**: Split schemas into files (`schemas/`, `configs/`).
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2. **Reuse**: Leverage CUE’s **import system** (`import "acme.com/schemas"`).
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3. **Validate Early**: Run `cue vet` in CI/CD.
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---
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## **6. Advanced Topics**
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### **Go + CUE Integration**
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Embed CUE in Go programs for dynamic validation:
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```go
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package main
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import (
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"cuelang.org/go/cue/cuecontext"
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"fmt"
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)
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func main() {
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ctx := cuecontext.New()
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schema := ctx.CompileString(`
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#Person: {
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name: string
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age: int & >=18
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}`)
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data := ctx.CompileString(`{ name: "Alice", age: 30 }`)
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unified := schema.Unify(data)
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if err := unified.Validate(); err != nil {
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fmt.Println("Validation failed:", err)
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} else {
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fmt.Println("Valid!")
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}
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}
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```
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### **Generating Code**
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Convert CUE to:
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- **OpenAPI**: `cue export --out openapi`
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- **Go Structs**: `cue get go`
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- **SQL**: Use templates (`text/template`).
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---
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## **7. Learning Resources**
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- **Official Docs**: [cuelang.org](https://cuelang.org/)
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- **Playground**: [cuelang.org/play](https://cuelang.org/play)
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- **Community**: [CUE Slack](https://cuelang.slack.com/)
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---
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## **Conclusion**
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CUE replaces **ad-hoc YAML/JSON** with **structured, validated, and reusable** configurations. By mastering:
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1. **Lattice logic** (unification, constraints),
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2. **Real-world workflows** (K8s, Terraform, CI/CD),
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3. **Tooling integration** (Go, OpenAPI),
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You can eliminate configuration errors and enforce policies **declaratively**.
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**Next Step**: Try the [CUE Tutorial](https://cuelang.org/docs/tutorials/) or experiment in the **playground**! 🚀
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