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# Code Reuse Thinking Guide
> **Purpose**: Stop and think before creating new code - does it already exist?
---
## The Problem
**Duplicated code is the #1 source of inconsistency bugs.**
When you copy-paste or rewrite existing logic:
- Bug fixes don't propagate
- Behavior diverges over time
- Codebase becomes harder to understand
---
## Before Writing New Code
### Step 1: Search First
```bash
# Search for similar function names
grep -r "functionName" .
# Search for similar logic
grep -r "keyword" .
```
### Step 2: Ask These Questions
| Question | If Yes... |
|----------|-----------|
| Does a similar function exist? | Use or extend it |
| Is this pattern used elsewhere? | Follow the existing pattern |
| Could this be a shared utility? | Create it in the right place |
| Am I copying code from another file? | **STOP** - extract to shared |
---
## Common Duplication Patterns
### Pattern 1: Copy-Paste Functions
**Bad**: Copying a validation function to another file
**Good**: Extract to shared utilities, import where needed
### Pattern 2: Similar Components
**Bad**: Creating a new component that's 80% similar to existing
**Good**: Extend existing component with props/variants
### Pattern 3: Repeated Constants
**Bad**: Defining the same constant in multiple files
**Good**: Single source of truth, import everywhere
---
## When to Abstract
**Abstract when**:
- Same code appears 3+ times
- Logic is complex enough to have bugs
- Multiple people might need this
**Don't abstract when**:
- Only used once
- Trivial one-liner
- Abstraction would be more complex than duplication
---
## After Batch Modifications
When you've made similar changes to multiple files:
1. **Review**: Did you catch all instances?
2. **Search**: Run grep to find any missed
3. **Consider**: Should this be abstracted?
---
## Gotcha: Asymmetric Mechanisms Producing Same Output
**Problem**: When two different mechanisms must produce the same file set (e.g., recursive directory copy for init vs. manual `files.set()` for update), structural changes (renaming, moving, adding subdirectories) only propagate through the automatic mechanism. The manual one silently drifts.
**Symptom**: Init works perfectly, but update creates files at wrong paths or misses files entirely.
**Prevention checklist**:
- [ ] When migrating directory structures, search for ALL code paths that reference the old structure
- [ ] If one path is auto-derived (glob/copy) and another is manually listed, the manual one needs updating
- [ ] Add a regression test that compares outputs from both mechanisms
---
## Checklist Before Commit
- [ ] Searched for existing similar code
- [ ] No copy-pasted logic that should be shared
- [ ] Constants defined in one place
- [ ] Similar patterns follow same structure
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# Cross-Layer Thinking Guide
> **Purpose**: Think through data flow across layers before implementing.
---
## The Problem
**Most bugs happen at layer boundaries**, not within layers.
Common cross-layer bugs:
- API returns format A, frontend expects format B
- Database stores X, service transforms to Y, but loses data
- Multiple layers implement the same logic differently
---
## Before Implementing Cross-Layer Features
### Step 1: Map the Data Flow
Draw out how data moves:
```
Source → Transform → Store → Retrieve → Transform → Display
```
For each arrow, ask:
- What format is the data in?
- What could go wrong?
- Who is responsible for validation?
### Step 2: Identify Boundaries
| Boundary | Common Issues |
|----------|---------------|
| API ↔ Service | Type mismatches, missing fields |
| Service ↔ Database | Format conversions, null handling |
| Backend ↔ Frontend | Serialization, date formats |
| Component ↔ Component | Props shape changes |
### Step 3: Define Contracts
For each boundary:
- What is the exact input format?
- What is the exact output format?
- What errors can occur?
---
## Common Cross-Layer Mistakes
### Mistake 1: Implicit Format Assumptions
**Bad**: Assuming date format without checking
**Good**: Explicit format conversion at boundaries
### Mistake 2: Scattered Validation
**Bad**: Validating the same thing in multiple layers
**Good**: Validate once at the entry point
### Mistake 3: Leaky Abstractions
**Bad**: Component knows about database schema
**Good**: Each layer only knows its neighbors
---
## Checklist for Cross-Layer Features
Before implementation:
- [ ] Mapped the complete data flow
- [ ] Identified all layer boundaries
- [ ] Defined format at each boundary
- [ ] Decided where validation happens
After implementation:
- [ ] Tested with edge cases (null, empty, invalid)
- [ ] Verified error handling at each boundary
- [ ] Checked data survives round-trip
---
## When to Create Flow Documentation
Create detailed flow docs when:
- Feature spans 3+ layers
- Multiple teams are involved
- Data format is complex
- Feature has caused bugs before
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# Thinking Guides
> **Purpose**: Expand your thinking to catch things you might not have considered.
---
## Why Thinking Guides?
**Most bugs and tech debt come from "didn't think of that"**, not from lack of skill:
- Didn't think about what happens at layer boundaries → cross-layer bugs
- Didn't think about code patterns repeating → duplicated code everywhere
- Didn't think about edge cases → runtime errors
- Didn't think about future maintainers → unreadable code
These guides help you **ask the right questions before coding**.
---
## Available Guides
| Guide | Purpose | When to Use |
|-------|---------|-------------|
| [Code Reuse Thinking Guide](./code-reuse-thinking-guide.md) | Identify patterns and reduce duplication | When you notice repeated patterns |
| [Cross-Layer Thinking Guide](./cross-layer-thinking-guide.md) | Think through data flow across layers | Features spanning multiple layers |
---
## Quick Reference: Thinking Triggers
### When to Think About Cross-Layer Issues
- [ ] Feature touches 3+ layers (API, Service, Component, Database)
- [ ] Data format changes between layers
- [ ] Multiple consumers need the same data
- [ ] You're not sure where to put some logic
→ Read [Cross-Layer Thinking Guide](./cross-layer-thinking-guide.md)
### When to Think About Code Reuse
- [ ] You're writing similar code to something that exists
- [ ] You see the same pattern repeated 3+ times
- [ ] You're adding a new field to multiple places
- [ ] **You're modifying any constant or config**
- [ ] **You're creating a new utility/helper function** ← Search first!
→ Read [Code Reuse Thinking Guide](./code-reuse-thinking-guide.md)
---
## Pre-Modification Rule (CRITICAL)
> **Before changing ANY value, ALWAYS search first!**
```bash
# Search for the value you're about to change
grep -r "value_to_change" .
```
This single habit prevents most "forgot to update X" bugs.
---
## How to Use This Directory
1. **Before coding**: Skim the relevant thinking guide
2. **During coding**: If something feels repetitive or complex, check the guides
3. **After bugs**: Add new insights to the relevant guide (learn from mistakes)
---
## Contributing
Found a new "didn't think of that" moment? Add it to the relevant guide.
---
**Core Principle**: 30 minutes of thinking saves 3 hours of debugging.