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Workik

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AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

What it does

Workik is an AI development platform that connects to a team's engineering tools (Jira, GitHub, etc.) to gather context, plan tasks into subtasks, generate backend and frontend code, write tests and open pull requests. It also produces auto-updating documentation and integrates with coding tools like Claude Code and GitHub Copilot.

How to use: To use Workik AI, you can sign up for a free trial or choose a premium plan. Connect your codebase, database schema, and tech stack to provide context for the AI. Then, use the AI assistance features to generate code, queries, mock data, and documentation. Collaborate with your team by inviting members to your workspace and setting permissions.

Core features

Automatic context-gathering from connected engineering sources
AI-generated code, tests and pull requests from tickets
Task planning that breaks complex work into subtasks
Auto-updating engineering documentation
Vector search over embedded project data
Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
Engineering productivity analytics dashboard

Best for

Engineering teams automating ticket-to-PR workflows
Developers wanting AI-assisted debugging and test generation
Engineering managers tracking AI-driven productivity gains
Teams centralizing documentation from scattered sources

Pricing

Trial
$0/month
Starter
$15/month
Premium
$30/month
Elite
$80/month
Tailored
$62/month
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Tutorials

Step-by-step: exactly how to get things done with it.