Project Management & Tracking
Manage development projects with AI assistance and smart recommendations
Project-Centric Development
Smart Tech Stack Selection
Choose technologies based on:
- Project Requirements: Scale, performance, complexity
- Team Expertise: Current skills and learning goals
- Timeline Constraints: Development speed vs long-term maintenance
- Ecosystem Maturity: Community support and tooling
AI-Assisted Development
- Code Generation: Generate boilerplate and common patterns
- Architecture Suggestions: Design recommendations based on requirements
- Testing Automation: Generate test cases and assertions
- Performance Optimization: Identify and fix bottlenecks
Progress Tracking
- Milestone Monitoring: Track progress against deadlines
- Code Quality Metrics: Maintain standards across projects
- Dependency Health: Monitor security and compatibility
- Deployment Success: Track production stability
Current Project Context
This section adapts based on your active projects:
- Primary Tech Stack: Technologies youβre currently using
- Development Phase: Planning, development, testing, deployment
- Team Size: Solo, small team, enterprise
- Project Type: Web app, API, mobile, desktop, etc.
AI Prompt Hierarchy
Future feature: Generate contextual prompts based on:
- Project Context: Current tech stack and requirements
- Development Phase: What youβre trying to accomplish
- User Preferences: Coding style and patterns
- Historical Data: Past successful implementations