Initial project setup with Python version 3.12, main script for backtesting trading strategies, and configuration files for project management. Added necessary dependencies and documentation structure.
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---
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description: Iterative development workflow for AI-assisted coding
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globs:
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alwaysApply: false
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---
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# Rule: Iterative Development Workflow
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## Goal
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Establish a structured, iterative development process that prevents the chaos and complexity that can arise from uncontrolled AI-assisted development.
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## Development Phases
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### Phase 1: Planning and Design
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**Before writing any code:**
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1. **Understand the Requirement**
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- Break down the task into specific, measurable objectives
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- Identify existing code patterns that should be followed
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- List dependencies and integration points
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- Define acceptance criteria
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2. **Design Review**
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- Propose approach in bullet points
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- Wait for explicit approval before proceeding
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- Consider how the solution fits existing architecture
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- Identify potential risks and mitigation strategies
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### Phase 2: Incremental Implementation
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**One small piece at a time:**
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1. **Micro-Tasks** (≤ 50 lines each)
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- Implement one function or small class at a time
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- Test immediately after implementation
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- Ensure integration with existing code
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- Document decisions and patterns used
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2. **Validation Checkpoints**
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- After each micro-task, verify it works correctly
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- Check that it follows established patterns
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- Confirm it integrates cleanly with existing code
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- Get approval before moving to next micro-task
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### Phase 3: Integration and Testing
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**Ensuring system coherence:**
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1. **Integration Testing**
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- Test new code with existing functionality
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- Verify no regressions in existing features
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- Check performance impact
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- Validate error handling
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2. **Documentation Update**
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- Update relevant documentation
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- Record any new patterns or decisions
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- Update context files if architecture changed
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## Iterative Prompting Strategy
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### Step 1: Context Setting
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```
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Before implementing [feature], help me understand:
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1. What existing patterns should I follow?
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2. What existing functions/classes are relevant?
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3. How should this integrate with [specific existing component]?
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4. What are the potential architectural impacts?
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```
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### Step 2: Plan Creation
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```
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Based on the context, create a detailed plan for implementing [feature]:
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1. Break it into micro-tasks (≤50 lines each)
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2. Identify dependencies and order of implementation
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3. Specify integration points with existing code
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4. List potential risks and mitigation strategies
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Wait for my approval before implementing.
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```
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### Step 3: Incremental Implementation
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```
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Implement only the first micro-task: [specific task]
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- Use existing patterns from [reference file/function]
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- Keep it under 50 lines
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- Include error handling
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- Add appropriate tests
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- Explain your implementation choices
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Stop after this task and wait for approval.
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```
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## Quality Gates
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### Before Each Implementation
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- [ ] **Purpose is clear**: Can explain what this piece does and why
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- [ ] **Pattern is established**: Following existing code patterns
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- [ ] **Size is manageable**: Implementation is small enough to understand completely
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- [ ] **Integration is planned**: Know how it connects to existing code
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### After Each Implementation
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- [ ] **Code is understood**: Can explain every line of implemented code
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- [ ] **Tests pass**: All existing and new tests are passing
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- [ ] **Integration works**: New code works with existing functionality
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- [ ] **Documentation updated**: Changes are reflected in relevant documentation
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### Before Moving to Next Task
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- [ ] **Current task complete**: All acceptance criteria met
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- [ ] **No regressions**: Existing functionality still works
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- [ ] **Clean state**: No temporary code or debugging artifacts
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- [ ] **Approval received**: Explicit go-ahead for next task
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- [ ] **Documentaion updated**: If relevant changes to module was made.
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## Anti-Patterns to Avoid
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### Large Block Implementation
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**Don't:**
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```
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Implement the entire user management system with authentication,
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CRUD operations, and email notifications.
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```
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**Do:**
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```
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First, implement just the User model with basic fields.
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Stop there and let me review before continuing.
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```
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### Context Loss
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**Don't:**
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```
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Create a new authentication system.
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```
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**Do:**
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```
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Looking at the existing auth patterns in auth.py, implement
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password validation following the same structure as the
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existing email validation function.
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```
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### Over-Engineering
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**Don't:**
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```
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Build a flexible, extensible user management framework that
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can handle any future requirements.
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```
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**Do:**
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```
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Implement user creation functionality that matches the existing
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pattern in customer.py, focusing only on the current requirements.
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```
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## Progress Tracking
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### Task Status Indicators
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- 🔄 **In Planning**: Requirements gathering and design
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- ⏳ **In Progress**: Currently implementing
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- ✅ **Complete**: Implemented, tested, and integrated
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- 🚫 **Blocked**: Waiting for decisions or dependencies
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- 🔧 **Needs Refactor**: Working but needs improvement
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### Weekly Review Process
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1. **Progress Assessment**
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- What was completed this week?
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- What challenges were encountered?
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- How well did the iterative process work?
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2. **Process Adjustment**
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- Were task sizes appropriate?
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- Did context management work effectively?
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- What improvements can be made?
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3. **Architecture Review**
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- Is the code remaining maintainable?
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- Are patterns staying consistent?
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- Is technical debt accumulating?
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## Emergency Procedures
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### When Things Go Wrong
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If development becomes chaotic or problematic:
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1. **Stop Development**
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- Don't continue adding to the problem
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- Take time to assess the situation
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- Don't rush to "fix" with more AI-generated code
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2. **Assess the Situation**
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- What specific problems exist?
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- How far has the code diverged from established patterns?
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- What parts are still working correctly?
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3. **Recovery Process**
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- Roll back to last known good state
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- Update context documentation with lessons learned
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- Restart with smaller, more focused tasks
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- Get explicit approval for each step of recovery
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### Context Recovery
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When AI seems to lose track of project patterns:
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1. **Context Refresh**
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- Review and update CONTEXT.md
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- Include examples of current code patterns
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- Clarify architectural decisions
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2. **Pattern Re-establishment**
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- Show AI examples of existing, working code
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- Explicitly state patterns to follow
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- Start with very small, pattern-matching tasks
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3. **Gradual Re-engagement**
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- Begin with simple, low-risk tasks
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- Verify pattern adherence at each step
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- Gradually increase task complexity as consistency returns
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## Success Metrics
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### Short-term (Daily)
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- Code is understandable and well-integrated
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- No major regressions introduced
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- Development velocity feels sustainable
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- Team confidence in codebase remains high
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### Medium-term (Weekly)
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- Technical debt is not accumulating
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- New features integrate cleanly
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- Development patterns remain consistent
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- Documentation stays current
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### Long-term (Monthly)
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- Codebase remains maintainable as it grows
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- New team members can understand and contribute
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- AI assistance enhances rather than hinders development
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- Architecture remains clean and purposeful
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