Express.js
Fastify
GraphQL
TypeORM
Prisma
Mongoose
Passport.js
Socket.io
Swagger
BullMQ
gRPC
Jest
Join our community to see how developers are using Workik AI everyday.
Supported AI models on Workik
GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5, GPT 4.1 Mini
Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash
Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet, Claude 3.5 Haiku
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Scaffold Modules Instantly
Create complete NestJS modules with controllers, services, and providers instantly. AI ensures clean and consistent architecture.
Generate CRUD APIs
Generate REST endpoints with full CRUD logic, DTO validation, and database integration in seconds using AI.
Integrate Database Effortlessly
Connect to TypeORM, Prisma, or Mongoose and automatically generate models, schemas, and migrations.
Build GraphQL and REST APIs
Switch between REST or GraphQL endpoints with decorators, resolvers, and schema generation handled intelligently by AI.
TESTIMONIALS
Real Stories, Real Results with Workik
"Switching between React and NestJS used to be messy. Now I just generate the backend and plug it in."
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Daniel Kim
Full Stack Developer
"I built a full GraphQL API for our app backend in one go. Workik AI handled everything perfectly."
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Priya Sharma
API Architect
"We used Workik AI to set up our NestJS modules. We had our clean, ready-to-use code running in minutes."
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Aarav Mehta
Backend Developer
What are the most popular use cases for the Workik AI NestJS Code Generator?
Developers use Workik AI for a wide range of NestJS tasks, including but not limited to:
* Generating REST or GraphQL APIs with DTOs, validation, and service logic.
* Scaffolding complete modules, controllers, and providers instantly.
* Creating authentication workflows with JWT or OAuth using Passport strategies.
* Building microservices with Redis, RabbitMQ, or Kafka message patterns.
* Setting up database schemas, entities, and migrations with TypeORM or Prisma.
* Refactoring or modernizing legacy NestJS projects for better scalability.
* Automating CRUD operations and endpoint testing.
* Debugging dependency injection issues or optimizing module boundaries.
What context-setting options are available on Workik for better AI results?
While adding context is optional, adding it helps the AI personalize output for your exact setup. You can add:
* Repository integrations with GitHub, GitLab, and Bitbucket for instant context syncing.
* Frameworks and packages like NestJS with TypeORM, Fastify, or GraphQL.
* Database schema or models for generating consistent services and entities.
* Relevant code files or common functions that define project standards.
* API blueprints from Swagger or Postman.
* Dynamic context notes to explain business logic or architecture preferences.
* Environment configuration files like .env or config.module.ts
* Shared interface or DTO definitions to help AI align endpoints and data structures accurately.
What type of complex NestJS patterns can AI handle?
Workik AI can recognize and generate advanced NestJS constructs such as interceptors, guards, and custom decorators by analyzing your context setup. For instance, if your project uses JWT authentication, the AI can scaffold a guard that validates tokens and attaches the user object to requests. Similarly, it can generate logging interceptors or custom decorators for role-based access without requiring manual setup.
Can the AI assist in code refactoring or migrating existing NestJS applications?
Yes, the AI NestJS code generator helps modernize and refactor existing projects by analyzing current service and controller structures. It can simplify redundant logic, suggest cleaner patterns, and assist in migrating older Express-based APIs to Fastify or GraphQL setups. Developers can also use AI to define modular boundaries and shared configurations when shifting from monolithic to microservice architectures
How can AI assist in NestJS security and authentication workflows?
AI helps developers create secure authentication layers using Passport strategies like JWT, Google, or GitHub OAuth. It can scaffold guards, interceptors, and refresh token handling, while also suggesting role-based access control (RBAC) setups. Developers can rely on AI to ensure best practices such as input validation, CORS configuration, and rate limiting are applied consistently.
Can AI help with documentation and API lifecycle management in NestJS?
Yes, AI can assist developers in generating and maintaining Swagger (OpenAPI) documentation that stays aligned with DTOs and route definitions. As developers update their code, the AI helps track changes and version the documentation accordingly. For GraphQL projects, it supports creating SDL schemas, making it easier to keep frontend and backend teams aligned.
Can the AI help me structure a monorepo or microservice architecture in NestJS?
Yes, AI can assist in planning and scaffolding modular NestJS architectures for monorepos or microservices. It helps define shared modules, organize service boundaries, and suggest folder structures that support scalability and clear dependency management from the start.
How does AI improve API performance and scalability in NestJS projects?
AI assists developers by recommending performance-oriented patterns such as caching, rate limiting, and async request handling. It can help structure Fastify-ready APIs, modular service layers, and queue-based workflows to enhance responsiveness and scalability across large NestJS applications.
How does the AI handle database migrations and versioning in NestJS projects?
Workik AI helps developers manage schema updates by generating entity files, migration templates, and DTOs aligned with their database structure. It provides code suggestions to keep models and repositories consistent, minimizing manual work during schema changes or version upgrades.
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