Set AI context by defining languages, package list, variable list, API structure, common code, db models, or tech stack.
Generate REST and GraphQL APIs, authentication, database access, and third-party integrations.
From Python to JavaScript, Ruby to Java, PHP to C#, AI has you covered.
Save your workspace and continue code generation later.
Choose from options like raw code, code explanations, code snippets, debugging, modules, and application zip file generation.
Generate clean and efficient code for your development.
Create application zip files for easy deployment.
Efficiently debug and handle errors in your code.
Generate custom APIs and documentation tailored to your specific requirements.
Generate model code and database scripts from your schema, then share them with your team.
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Drive teamwork & productivity with integrated workspaces.
Invite team members and manage user permissions to control access and editing rights.
Share code snippets and exchange ideas.
Communicate with AI and the team using the chat box.
Instantly set-up workspace using popular templates.
Customise templates to suit your project requirements.
Templates available with context for backend and frontend development.
Choose templates with various scripts like shell scripts (windows, mac, linux), docker files, yaml, webpack and much more.
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Can I use the backend code generator for my existing project?
Create a workspace with your project's languages, packages, common functions, and DB models. Workik AI then writes new endpoints and services that reuse those models and helpers instead of inventing new ones.
Does the backend code generator support different frameworks and libraries?
Workik AI follows the framework you set as context, such as Express or NestJS for Node.js, Django or FastAPI for Python, and Spring Boot for Java, including its routing, ORM, and folder conventions.
How can I use AI for backend logic like OTP login or messaging workflows?
Describe the flow step by step: what triggers it, what is stored, which provider sends messages, and the limits. For OTP login, Workik AI writes the route that issues a code, hashes and stores it with an expiry, sends it through your SMS or email provider, and verifies it with attempt limits.
Can the backend code generator handle complex logic and algorithms?
Describe the rules, edge cases, and data involved, such as pricing tiers, retry logic, or a scheduling algorithm, and Workik AI writes the service-layer code around them.
Can Workik AI generate a complete backend, not just snippets?
Pick the application zip response type and describe the app: its entities, endpoints, auth, and database. Workik AI returns a project with routes, controllers, models, and config files that you download, run, and extend.
Can I keep several projects and come back to them later?
Each workspace saves its context and earlier code, so you can pick up where you left off, and there's no limit on how many workspaces you create.
Which AI models can I use for backend development in Workik?
Workik AI lets you switch models per request, including Claude, GPT, Gemini, DeepSeek, and Kimi, to compare results on the same backend task. Generating endpoints, debugging errors, and documenting APIs happen in one workspace, so code doesn't move between separate tools.
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