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Feature Development Kanban
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⨠Add Feature
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âī¸ Settings
đˇī¸ All Tags
⥠All Priorities
đ´ Critical
đ High
đĩ Medium
âĒ Low
đĨ All Assignees
âąī¸ All Times
No Estimate
< 2 hours
2-4 hours
4-8 hours
8+ hours
đ Newest First
đ Oldest First
đ¤ A-Z
đ¤ Z-A
⥠Priority: High to Low
⥠Priority: Low to High
đ Due Date: Soonest First
đ Due Date: Latest First
âąī¸ Time: High to Low
âąī¸ Time: Low to High
đ Unified View
Add New Feature
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Feature Title *
Description
Prompt for Coding Agent *
⨠Enhance with AI
âŠī¸ Revert
Tags (comma-separated)
Priority
Low
Medium
High
Critical
Due Date (optional)
Assignees (comma-separated)
Enter names separated by commas
Time Estimate (hours)
Estimated time in hours
Actual Time (hours)
Actual time spent in hours
Add to Projects *
Select at least one project
Feature Creation Mode
Create Identical Features
Same prompt for all projects (fast)
Contextualize with AI
AI customizes prompt for each project (requires Ollama)
Add Feature
Add New Project
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Project Name *
Project Path
AI Context (Optional)
This context helps AI customize feature prompts for this project
Color Theme
Blue Purple
Green
Orange
Red
Blue
Purple
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AI Settings
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Ollama API URL
For local: http://localhost:11434 | For production: use Railway API endpoint
Model
Examples: llama3, codellama, deepseek-coder, qwen2.5-coder
Enhancement System Prompt
You are an expert at writing detailed, clear prompts for AI coding agents. Given a brief feature request, expand it into a comprehensive, well-structured prompt that includes: 1. Clear objective and context 2. Specific implementation steps 3. Technical requirements and constraints 4. Edge cases to consider 5. Testing and validation criteria Keep the enhanced prompt practical and actionable. Format it in a clear, organized way.
Contextualization System Prompt
You are an expert at adapting feature requirements for specific project contexts. Given: 1. A base feature prompt 2. Project-specific technical context (tech stack, patterns, constraints) Create a contextualized version that: - Maintains the core objective - Adapts implementation details to the project's tech stack - Includes project-specific considerations - Keeps the same structure and clarity Output ONLY the adapted prompt, no explanations.
Used when creating features for multiple projects with AI contextualization
Save Settings
Test Connection
Ollama Status
×
Review Contextualized Features
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Create All Features
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