AI-Powered Development
Encore gives AI coding assistants superpowers. With MCP integration and Encore-specific rules, AI understands your architecture, can provision infrastructure in AWS/GCP with guardrails, and generates type-safe code that follows your patterns.
AI that understands context
Encore's structured APIs and infrastructure primitives give AI tools a reliable framework. With Encore-specific rules and MCP integration, AI understands your patterns, can provision infrastructure with guardrails, and generates code that actually works.
- ✓Infrastructure provisioning with guardrails
- ✓Type-safe code generation
- ✓Context-aware suggestions
- ✓Architecture introspection via MCP
Infrastructure with guardrails
AI can provision databases, pub/sub topics, and other infrastructure in AWS/GCP using Encore's primitives. Guardrails ensure it follows best practices automatically.
Context-aware code generation
Encore-specific rules help AI understand your patterns. Generated code follows your existing service structure, API conventions, and infrastructure setup.
Instant verification
Run encore run to immediately test AI-generated code with real infrastructure, not mocks.
Encore-specific rules and guardrails
Encore's structured approach means AI understands your patterns. When AI generates code, it follows Encore's conventions: type-safe APIs, infrastructure primitives, and service boundaries.
AI can provision infrastructure in AWS or GCP using Encore's primitives, with guardrails ensuring proper networking, IAM permissions, and security configurations.
- ✓Infrastructure provisioning with automatic guardrails
- ✓Type-safe code generation following your patterns
- ✓Context-aware suggestions based on your architecture
- ✓Automatic validation against API schemas and types
Works with your AI tools
Encore's MCP server integrates with any AI coding assistant that supports the Model Context Protocol. Connect Cursor, Claude Code, GitHub Copilot, Antigravity, or any other MCP-compatible tool.
The MCP server runs locally and gives AI assistants deep insight into your application's architecture, APIs, database schemas, and traces.
Why AI works better with Encore
Traditional codebases are opaque to AI. Configuration is scattered across YAML files, infrastructure is defined separately, and the relationship between services is unclear.
Encore applications are self-describing. The framework understands your architecture and can explain it to AI assistants. This means more accurate code generation, fewer hallucinations, and AI that actually understands your system.
- •AI guesses at infrastructure setup
- •Generated code requires manual wiring
- •No visibility into existing patterns
- •Testing requires manual mock setup
- •AI understands architecture via MCP and Encore rules
- •Generated code follows your patterns automatically
- •Infrastructure provisioned with guardrails in AWS/GCP
- •Type-safe code that passes validation
- •Instant testing with real infrastructure
Security and control
- ✓MCP server runs locally on your machine
- ✓You control what AI assistants can access
- ✓Production infrastructure isolated from AI tools
- ✓Type-safe APIs prevent invalid code
Ship AI-generated code with confidence
Encore's type system catches errors before they reach production. AI-generated code is validated against your API schemas, database types, and infrastructure definitions.
Combined with preview environments, you can test AI-generated changes in isolation before merging to production.
Learn about AI-powered development →
