Generate code instantly with AI. Transform ideas into clean, functional code in seconds. Perfect for developers and beginners alike.
Easy as one, two, three.
Describe your agent
Ask Lindy what to do and watch it build your Agent in minutes.
Connect your apps
Hundreds of integrations available.
Let AI do the work
Give custom instructions to your agent, all in natural language.
Use-cases
Accelerate development speed by 70%
Reduce development time by up to 70% on projects with repetitive boilerplate by generating code and templates automatically. Free engineers from routine tasks so they can focus on complex business logic and deliver features faster.
Eliminate coding errors instantly
Produce syntactically correct, security‑conscious code that follows industry best practices. Automate error detection and validation to shorten debugging cycles and reduce the risk of production bugs.
Master new programming languages
Generate working examples and concise explanations to practice framework and language features, enabling hands-on learning without relying on lengthy tutorials. Improve practical competence and expand your skillset through targeted, runnable code samples.
Automate testing and documentation
Automatically generate unit tests and API documentation to improve code quality and maintainability while reducing manual testing and documentation effort.
Scale team productivity effortlessly
Enable junior developers to contribute to production code through contextual code suggestions. Standardize coding practices across teams, shorten onboarding time, and improve team productivity.
Learn more
Ingest Spec
Upload an OpenAPI or Markdown spec; the code generator extracts models, routes, and validation rules.
Scaffold CRUD
Validate and normalize OpenAPI/Markdown specs, extract schemas, parameters, and endpoints, and generate type-safe models, route metadata, and a validation report highlighting missing or inconsistent definitions.
Generate Tests
Create unit and integration tests from the API spec, run them in CI to verify each CRUD operation (create, read, update, delete) and core end-to-end flows.
Benefits
Build CRUD APIs (and tests) from your spec in minutes
Paste your OpenAPI or Markdown spec to scaffold REST and GraphQL endpoints, data models, database migrations, validation, controllers, routes, and a runnable test suite in minutes, eliminating boilerplate and reducing setup time.
Auto-generate comprehensive tests
Create unit, integration, and API tests with fixtures and mocks. The generator covers edge cases, updates tests as code changes, and configures coverage and CI so tests stay current while reducing manual maintenance.
Turn ideas into clean code in seconds
Describe your requirements in plain English and receive production-ready code snippets, modules, and project scaffolds. Useful for rapid prototyping and beginners, it converts ideas into functional code without starting from a blank file.
Eliminate repetitive setup and wiring
Offload configs, routing, state management boilerplate, DTOs/forms, serialization, error handling, and input validation. Consistent patterns and best practices reduce bugs and let you focus on business logic.
Generate docs, types, and comments automatically
Generate OpenAPI or Swagger specs, README snippets, inline docstrings, and type definitions or interfaces from your code or spec. These artifacts improve onboarding, API discoverability, and maintainability.
Accelerate integrations and code translation
Scaffold API clients and SDKs from OpenAPI or GraphQL schemas, map data models, and connect third-party services. Translate code patterns across languages and frameworks, for example Python and TypeScript, while preserving structure, tests, and style.
FAQ
How does Code AI Generator build a CRUD API and tests from an OpenAPI or markdown spec?
Code AI Generator ingests a spec (OpenAPI or markdown), extracts models, routes, and rules, then scaffolds REST/GraphQL CRUD endpoints, controllers, and a database schema with validation and auth stubs. The tool generates unit and integration tests from the spec and provides CI/coverage configs to verify CRUD flows end-to-end.
Is AI-generated code secure, and how does Code AI Generator reduce risk from insecure code or hallucinations?
Independent research shows AI-generated code can introduce vulnerabilities, so development teams should combine generation with code review, SAST/DAST, dependency and secret scanning, and comprehensive tests. Code AI Generator scaffolds validation, auth stubs, and exhaustive unit/integration/API tests with fixtures/mocks, then wires coverage and CI to catch regressions and reduce risk from hallucinated logic or insecure patterns. Long-tail keywords: secure AI code generator, AI-generated code security best practices, prevent insecure code with automated tests.
What about privacy, data protection, and IP/licensing when using Code AI Generator with a private spec?
Organizations commonly evaluate AI tools for data repurposing risks, sensitive data handling, and compliance with data protection laws. Teams also review licensing/IP exposure and ensure outputs and dependencies align with company policies and permissive licenses. Code AI Generator workflows work best with sanitized specs, organization review gates, and license/compliance scanning in CI. Long-tail keywords: AI code generator privacy enterprise, AI code generator licensing and IP, secure AI for private OpenAPI specs.
Can beginners describe features in plain English and get clean, functional code from Code AI Generator for rapid prototyping?
Code AI Generator converts natural-language ideas into production-ready snippets, modules, and full project scaffolds in seconds, making rapid prototyping and onboarding simple for beginners while staying useful for senior developers. Long-tail keywords: AI code generator for beginners, plain English to code, rapid prototyping with AI.
Does Code AI Generator generate REST/GraphQL endpoints, documentation, types, and comments from a spec?
Scaffolds REST and GraphQL endpoints, data models, database migrations, validation logic, controllers, and routes; generates OpenAPI/Swagger documentation, README usage snippets, inline docstrings, and type definitions/interfaces so documentation and typing remain consistent with the code.
Can Code AI Generator translate code across languages and frameworks and scaffold SDKs and clients from OpenAPI or GraphQL schemas?
Scaffolds API clients and SDKs directly from OpenAPI and GraphQL schemas, producing language-specific client code, data models, type definitions, and request/response mappings. Translates patterns across languages and frameworks (for example, Python to TypeScript) while preserving project structure, test scaffolds, and coding style to accelerate integrations.
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