Traditional AI-assisted development suffers from sequential bottlenecks: one AI conversation at a time, manual context-switching between projects, repeated explanations of project structure, and context pollution from long conversation histories. Developers managing multiple projects waste valuable time juggling contexts and waiting for one task to finish before starting another. The single-threaded nature of AI assistants becomes a productivity ceiling.
Solution
Gastown is an innovative AI agent orchestration framework that enables true parallelization across multiple projects. Named after frontier towns where specialized workers operate autonomously, Gastown coordinates distributed AI "workers" (called polecats) across independent project workspaces (called rigs). It treats AI agents as ephemeral, single-task contractors that spawn fresh with exactly the context they need, execute work autonomously, and disappear—enabling simultaneous development across an entire project portfolio.
Multi-Project Orchestration: Coordinate work across multiple independent projects (rigs) simultaneously—wheeltracker, mealplanner, and personalsite are current active rigs
Ephemeral Worker Model: Polecats are disposable AI agents that spawn fresh for each task with zero context pollution, execute work, and self-destruct
The Propulsion Principle (GUPP): Revolutionary autonomous execution—if work appears on an agent's "hook," they execute immediately without waiting for approval, treating the system like a steam engine
CLAUDE.md Context Injection: Each rig maintains a master context file automatically injected into every polecat, ensuring consistent quality without repetition
Convoy Pattern: Batch related tasks for parallel execution with unified progress tracking across features
Mayor Coordination: Central orchestration agent breaks down PRDs into distributable work units and dispatches to polecats
Automated Integration Pipeline: Refinery agent processes merge queue with code review and verification before integration
Distributed Monitoring: Deacon (town-level health), Witness (per-rig monitoring), and Daemon (background services) ensure system reliability
Structured Work Management: Beads system for granular task tracking with cross-rig coordination
Architecture & Design
Architecture: Distributed workforce model with ephemeral workers, persistent context, and event-driven dispatch
Options traders using the wheel strategy need a comprehensive tool to track trades across multiple cycles, calculate complex profit/loss metrics, manage assigned positions, and benchmark performance against market indices. Existing solutions are either too complex, too simplistic, or don't understand the nuances of the wheel strategy.
Solution
Wheel Tracker is a production-ready Next.js application that provides end-to-end tracking for options traders. It manages the complete wheel cycle—from selling cash-secured PUTs, to managing assigned stock positions, to selling covered CALLs—with sophisticated P&L calculations, real-time price tracking, and performance analytics.
Complete Wheel Cycle Tracking: Manages PUTs, stock positions, and CALLs with relationship tracking between trades
Advanced Analytics: Real-time P&L calculations (realized vs. unrealized), win rate tracking, and performance metrics by ticker
Expiration Calendar: Color-coded ITM/OTM/ATM status with batch operations for managing upcoming expirations
Market Benchmarking: Compare portfolio performance against SPY, QQQ, and VTI indices
Live Price Integration: Real-time stock prices via Alpha Vantage API with automated daily updates
Tax-Ready Exports: Export trade history to CSV for tax preparation
Architecture & Design
Lighthouse scores of 97-99/100
FCP under 1 second
Complete UI component library
Frontend
Next.js 15
React 19
TypeScript 5.7
Tailwind CSS
Backend
PostgreSQL 16
Prisma ORM
NextAuth.js authentication
Testing
409+ passing tests
Comprehensive unit, integration, and E2E coverage
68+ component tests
Deployment
Docker containerization
Vercel/Railway/Netlify support
WCAG accessibility complianceProduction Ready
Zero Cumulative Layout Shift for optimal UXZero CLS
Busy professionals, families, and health-conscious individuals face the daily challenge of "what's for dinner?" Traditional meal planning is time-consuming, requires nutritional knowledge, and becomes repetitive. People need a solution that automates meal planning while respecting dietary preferences, nutrition goals, and household dynamics.
Solution
Meal Planner Agent is an AI-powered web application that leverages Claude AI to generate personalized, nutritious weekly meal plans. It automates the entire meal planning process—from recipe generation to shopping list creation—while adapting to individual preferences, dietary restrictions, and nutritional targets.
AI-Powered Generation: Uses Claude Sonnet 4 to create personalized meal plans with detailed recipes and nutrition information
Household-Based Planning: Share meal plans across family members while maintaining individual nutrition preferences
Smart Shopping Lists: Automatic ingredient aggregation, categorization, and HEB grocery integration with product links
Recipe Favorites System: Bookmark and save favorite recipes for quick reuse
Automated Email Delivery: Beautifully formatted meal plans sent to all household members automatically
Scheduled Generation: Configure automatic weekly meal plan generation on preferred days
Nutrition Optimization: Set protein targets, calorie limits, and dietary restrictions (vegetarian, vegan, gluten-free)
Real-Time Progress: Live progress tracking (0-100%) during meal plan generation
