Upload or sync code from GitHub, GitLab, or Bitbucket
Import APIs and schemas from Postman, Swagger, or local files
Connect live databases or add schemas using AI, JSON, or CSV
Attach visual references, config files, or technical notes
Keep all inputs organized and reusable in workspace
Refactor logic, generate tests, explain code, or build features by prompting AI
Workik uses vector search to automatically pass relevant context to the AI
From logic flow to function names, AI adapts to your actual code style
Choose the AI model best suited for your task — OpenAI, Claude, Gemini, and more
Invite teammates to share the same context and keep outputs consistent
Use dedicated workspaces to separate projects, environments, or features
Open multiple tabs for different tasks like bug fixes or integration flows
Access full history of prompts, responses, and file activity
GALLERY
What kind of code can Workik AI generate?
Workik can generate everything from utility functions to full modules. You can prompt it to build a login system, REST APIs, form handlers, or even complex logic like data validation — tailored to your project’s structure and tech stack.
What can Workik AI help me with?
Workik AI assists with coding, debugging, suggesting code improvements, code refactoring, code migration, testing, image-based inputs (like UI references), API testing, and more.
Can Workik generate both backend and frontend code?
Yes. For example, in a MERN stack app, you can add your React frontend, Node.js backend, MongoDB schema, and Swagger API docs. The AI uses that full setup to generate accurate, stack-specific code.
Can I update context mid-session without starting over?
You can update or replace context at any time. For example, if your database schema changes, just re-import it. You can re-index it, and future prompts will reflect the latest structure.
How does prompting work across tabs or sessions?
Each tab has its own history and context. You can refactor in one tab, generate code in another, or explore alternatives. You can also return to any session later without losing progress.
How does Workik handle token usage for AI interactions?
Each request consumes tokens based on your context and the length of the AI's output. You can monitor usage directly in the AI Logs to understand how your activity translates into token spend.
How does Workik support team collaboration?
You can invite teammates to shared workspaces where everyone sees the same context, prompt history, and AI outputs. It’s ideal for async debugging, pair programming, and consistent team-wide AI interaction.
Is my code safe when connecting GitHub or other sources?
Yes. Workik accesses only the necessary data when required. Nothing is stored permanently unless you explicitly index it. For sensitive projects, use the VS Code extension to keep everything local.
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