Code Intelligence
Extract meaning from code
SemanticCode uses AI to understand your codebase semantically. Generate documentation, test specifications, and insights that stay in sync as code evolves. Feed your semantic layer directly from source.
Features
What SemanticCode does
Semantic Code Analysis
AI understands your code beyond syntax. Extract APIs, patterns, relationships, and intent to build true semantic understanding.
Documentation Generation
Generate API references, guides, and examples directly from code. Accurate documentation that reflects what your code actually does.
Test Specification
Generate test specifications from code semantics. Understand what should be tested based on behavior and contracts.
Continuous Sync
Run in CI/CD to keep generated artifacts in sync with code. Documentation and tests evolve with your codebase.
Multi-Language Support
Analyze TypeScript, Python, Go, Java, and more. One tool for polyglot codebases.
SemanticContext Integration
Generated artifacts register directly to SemanticContext. Code knowledge flows into the semantic layer automatically.
Use Cases
How teams use SemanticCode
API Documentation
Generate comprehensive API references that stay accurate as code evolves. Never document manually again.
Test Generation
Create test specifications from code contracts. Understand coverage gaps through semantic analysis.
Codebase Understanding
Help new team members understand large codebases through AI-generated explanations and relationship maps.
Knowledge Extraction
Extract organizational knowledge embedded in code into explicit, searchable, agent-queryable artifacts.
Integrations