Aspen.io

Generates native Swift and Objective-C code directly from REST API requests and responses, using AI to infer type signatures, error handling patterns, and URLSession/Alamofire boilerplate. The system analyzes HTTP request/response pairs to construct type-safe model objects and networking layer code that integrates seamlessly with Xcode's build system, eliminating manual translation from API documentation or Postman exports.

Provides an API testing interface where developers construct HTTP requests and AI suggests parameters, headers, authentication schemes, and request bodies based on API documentation or prior requests. The system learns from successful request patterns and can auto-populate common headers (Authorization, Content-Type) and suggest realistic test data for different parameter types, reducing manual trial-and-error in API exploration.

Provides native Xcode extension or plugin that allows developers to generate and insert API client code directly into open Swift/Objective-C files without context-switching. The integration likely uses Xcode's SourceKit API or similar introspection to understand the current file's context (imports, existing types, target framework) and generate code that matches the project's structure and naming conventions.

Parses OpenAPI 3.0 and Swagger 2.0 specifications to automatically generate Swift and Objective-C API client code, including type definitions, request builders, and response models. The system extracts endpoint definitions, parameter schemas, and response structures from the specification and generates strongly-typed Swift code that conforms to the API contract, reducing manual interpretation of documentation.

Uses AI to infer API schemas, parameter types, and response structures from HTTP request/response examples, cURL commands, or incomplete documentation. The system analyzes patterns in request/response pairs to construct JSON schemas, identify required vs. optional parameters, and suggest type definitions without requiring explicit OpenAPI specifications or manual schema definition.

Maintains a searchable history of API requests and responses tested within Aspen.io, allowing developers to save, organize, and reuse request templates. The system likely stores request metadata (endpoint, method, headers, body) and response snapshots, enabling quick recall of previously tested endpoints and generation of code from historical requests without re-entering parameters.

Automatically detects authentication schemes (API keys, OAuth 2.0, Basic Auth, Bearer tokens, mTLS) from API requests and generates appropriate authentication code in Swift/Objective-C. The system analyzes request headers and parameters to identify the authentication pattern and generates code that handles token refresh, credential storage, and secure transmission without exposing secrets in generated code.

Analyzes API response bodies (JSON, XML) and automatically generates Swift Codable models or Objective-C model classes with proper type mappings, null handling, and nested object support. The system infers types from response examples, handles edge cases like optional fields and arrays, and generates models that can be directly decoded from API responses using JSONDecoder or similar mechanisms.