Task management foundation for the Market Thesis ecosystem
A local-first task tracking application providing core task management capabilities for the broader Market Thesis platform, alongside tools like MT-logo-render for logo generation and market-thesis for the main platform. Zero external dependencies, full offline capability, and comprehensive security.
For AI Models & Agents - Get productive in 5 minutes:
- π SPEC.md - Complete requirements & acceptance criteria
- π£οΈ ROADMAP.md - Current status & implementation phases
- π prompts/ - 18 complete implementation prompts (00-17)
# 1. Read the current phase status
cat docs/ROADMAP.md | grep -A 5 "Phase.*COMPLETED\|Phase.*In Progress"
# 2. Check available prompts
ls prompts/ | head -10
# 3. Read the relevant prompt for current work
cat prompts/$(ls prompts/ | grep $(cat docs/ROADMAP.md | grep "Phase.*In Progress" | sed 's/.*Phase \([0-9]\).*/\1/') | head -1)- π Read docs first - All decisions documented with rationale
- π Follow prompts - Step-by-step implementation guides
- π§ͺ Test thoroughly - 65%+ coverage required
- π Document decisions - Use ADR template for major changes
- π Manual review - PRs require human approval
- Complete context without session history dependency
- Decision rationale for all architectural choices
- Step-by-step guides for consistent implementation
- Quality gates ensure production readiness
- Complete CRUD Operations - Create, read, update, delete tasks with full validation
- Flexible Organization - Context-based grouping (personal/professional/mixed)
- Smart Filtering - Status, priority, due dates, tags, and custom queries
- Real-time Updates - Instant synchronization across the application
- Export Capabilities - JSON and CSV export for backup and portability
- Local-First Design - All data stays on your device, zero cloud dependency
- Comprehensive Validation - Input sanitization, Unicode safety, and injection protection
- LAN Mode (Optional) - Secure token-based access for local network sharing
- No Telemetry - Your data and usage patterns remain completely private
- Modern Web Interface - Responsive React application with dark/light themes
- Keyboard Shortcuts - Power user efficiency with intuitive hotkeys
- Inline Editing - Quick task modifications without navigation
- Rich Text Support - Markdown formatting in task descriptions
- Accessibility First - WCAG 2.1 AA compliant interface
- Comprehensive Testing - 81+ test cases with 65%+ coverage
- Type Safety - Full TypeScript coverage with strict typing
- API Documentation - Auto-generated OpenAPI/Swagger documentation
- Development Tools - Pre-commit hooks, linting, and automated quality gates
- Python 3.9+ - Backend runtime
- Node.js 16+ - Frontend development
- Git - Version control
- aiosqlite - Async SQLite driver (installed automatically)
# Clone the repository
git clone https://github.com/spencerbutler/tick-task.git
cd tick-task
# One-command development setup (recommended)
./dev.py
# Or manual setup:
# pip install -e .
# python -m alembic upgrade head
# cd frontend && npm install && npm run build
# Development server
python src/tick_task/main.py # Backend on :8000
cd frontend && npm run dev # Frontend on :5173Visit http://localhost:5173 to access the application!
- π Specification - Complete requirements and acceptance criteria
- ποΈ Architecture - System design and technical decisions
- π API Reference - REST API documentation and examples
- π§ͺ Testing Strategy - Quality assurance and test coverage
- π£οΈ Implementation Roadmap - Phase-by-phase development plan
- π Security Guide - Security posture and operational guidance
- πΎ Data Model - Database schema and entity relationships
- π Prompt Library - Complete 18-prompt implementation suite
- π Decision Records - Architecture decision rationale
- βοΈ Development Setup - Environment configuration guide
Beautiful, intuitive task management with inline editing and rich formatting
Powerful query system supporting complex task organization
Comprehensive OpenAPI documentation for ecosystem integration
βββββββββββββββββββ βββββββββββββββββββ βββββββββββββββββββ
β React UI β β FastAPI β β SQLite DB β
β (TypeScript) βββββΊβ (Python) βββββΊβ (SQLAlchemy) β
β β β β β β
β β’ Task Views β β β’ REST API β β β’ Tasks Table β
β β’ Inline Edit β β β’ Validation β β β’ Migrations β
β β’ Markdown β β β’ Security β β β’ Indexes β
β β’ Responsive β β β’ Export β β β’ Constraints β
βββββββββββββββββββ βββββββββββββββββββ βββββββββββββββββββ
| Component | Technology | Purpose |
|---|---|---|
| Frontend | React + TypeScript | User interface and interactions |
| Backend | FastAPI + Python | REST API and business logic |
| Database | SQLite + SQLAlchemy | Data persistence and queries |
| Styling | Tailwind CSS | Responsive design system |
| Testing | pytest + Vitest | Comprehensive test coverage |
| Security | SecurityValidator | Input sanitization and validation |
- π Read the Docs - Start with SPEC.md and ROADMAP.md
- π΄ Fork & Branch - Create feature branches from
main - π» Implement - Follow the prompt library for consistent implementation
- π§ͺ Test - Ensure all tests pass and coverage maintained
- π Document - Update relevant documentation and decision records
- π PR - Create pull request with comprehensive description
- π Review - Manual code review and testing verification
- β Merge - Approved changes merged to main
- Type Safety - Full TypeScript/Python typing
- Test Coverage - Minimum 65% with comprehensive test suite
- Security - All inputs validated, no injection vulnerabilities
- Documentation - Code comments, API docs, and user guides
- Performance - Startup <5s, API responses <100ms
- Phase 1: Spec & Architecture β
- Phase 2: Design & Strategy β
- Inline Task Editing: Complete β
- Phase 3: Foundation Planning (In Progress)
- Test Coverage: 65% (81 test cases)
- Security: Comprehensive validation implemented
- Performance: Meets all targets
- Accessibility: WCAG 2.1 AA compliant
MIT License - see LICENSE file for details.
- Market Thesis Ecosystem - Integrated task management foundation alongside MT-logo-render and market-thesis
- Open Source Community - React, FastAPI, SQLite, and countless libraries
- AI Development - Claude, GPT, and other models contributing to this implementation
- π Documentation: Comprehensive guides in the
docs/directory - π Issues: GitHub Issues
- π¬ Discussions: GitHub Discussions
- π Security: See SECURITY.md for responsible disclosure
This project demonstrates the power of AI-orchestrated development:
| Metric | Achievement | Traditional Equivalent |
|---|---|---|
| Cost Efficiency | 1,270x - 1,872x cheaper | $400k - $700k project cost |
| Development Speed | 6-9x faster | 19-28 weeks β 3-4 weeks |
| Resource Usage | 38-84x more efficient | 8-12 person team β 1 orchestrator |
| Quality Standards | Industry leading | Security, accessibility, documentation |
Delivered by expert AI orchestration - available for your next project. π
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