mrgoonie / simplification-cascades
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Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"
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--- name: Simplification Cascades description: Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z" when_to_use: when implementing the same concept multiple ways, accumulating special cases, or complexity is spiraling version: 1.1.0 --- # Simplification Cascades ## Overview Sometimes one insight eliminates 10 things. Look for the unifying principle that makes multiple components unnecessary. **Core principle:** "Everything is a special case of..." collapses complexity dramatically. ## Quick Reference | Symptom | Likely Cascade | |---------|----------------| | Same thing implemented 5+ ways | Abstract the common pattern | | Growing special case list | Find the general case | | Complex rules with exceptions | Find the rule that has no exceptions | | Excessive config options | Find defaults that work for 95% | ## The Pattern **Look for:** - Multiple implementations of similar concepts - Special case handling everywhere - "We need to handle A, B, C, D differently..." - Complex rules with many exceptions **Ask:** "What if they're all the same thing underneath?" ## Examples ### Cascade 1: Stream Abstraction **Before:** Separate handlers for batch/real-time/file/network data **Insight:** "All inputs are streams - just different sources" **After:** One stream processor, multiple stream sources **Eliminated:** 4 separate implementations ### Cascade 2: Resource Governance **Before:** Session tracking, rate limiting, file validation, connection pooling (all separate) **Insight:** "All are per-entity resource limits" **After:** One ResourceGovernor with 4 resource types **Eliminated:** 4 custom enforcement systems ### Cascade 3: Immutability **Before:** Defensive copying, locking, cache invalidation, temporal coupling **Insight:** "Treat everything as immutable data + transformations" **After:** Functional programming patterns **Eliminated:** Entire classes of synchronization problems ## Process 1. **List the variations** - What's implemented multiple ways? 2. **Find the essence** - What's the same underneath? 3. **Extract abstraction** - What's the domain-independent pattern? 4. **Test it** - Do all cases fit cleanly? 5. **Measure cascade** - How many things become unnecessary? ## Red Flags You're Missing a Cascade - "We just need to add one more case..." (repeating forever) - "These are all similar but different" (maybe they're the same?) - Refactoring feels like whack-a-mole (fix one, break another) - Growing configuration file - "Don't touch that, it's complicated" (complexity hiding pattern) ## Remember - Simplification cascades = 10x wins, not 10% improvements - One powerful abstraction > ten clever hacks - The pattern is usually already there, just needs recognition - Measure in "how many things can we delete?"