DangQuangSE Meta-Pattern Recognition
Overview
When the same pattern appears in 3+ domains, it's probably a universal principle worth extracting.
Core principle: Find patterns in how patterns emerge.
Quick Reference
| Pattern Appears In | Abstract Form | Where Else? |
|---|---|---|
| CPU/DB/HTTP/DNS caching | Store frequently-accessed data closer | LLM prompt caching, CDN, browser cache |
| Layering (network/storage/compute) | Separate concerns into abstraction levels | Clean architecture, OS rings |
| Queuing (message/task/request) | Decouple producer from consumer with buffer | Event systems, async processing, print queues |
| Pooling (connection/thread/object) | Reuse expensive resources | Memory management, worker pools |
| Rate limiting (API/traffic/admission) | Bound resource consumption to prevent exhaustion | LLM token budgets, DB connection limits |
Process
- Spot repetition — See same shape in 3+ places
- Extract abstract form — Describe it independent of any domain
- Identify variations — How does it adapt per domain?
- Check applicability — Where else might this pattern help?
Example
Pattern spotted: Rate limiting in API throttling, traffic shaping, circuit breakers, admission control, connection pooling
Abstract form: Bound resource consumption to prevent exhaustion
Variation points: What resource, what limit, what happens when exceeded (reject / queue / degrade)
New application: LLM token budgets (same pattern — prevent context window exhaustion)
Red Flags You're Missing Meta-Patterns
- "This problem is unique" (it probably isn't)
- Multiple teams independently solving "different" problems identically
- Reinventing wheels across domains
- "Haven't we done something like this?" (yes — find it)
- Writing the same logic in 3+ different places
Remember
- 3+ domains = likely universal principle
- Abstract form reveals new applications
- Variations show adaptation points
- Universal patterns are battle-tested across contexts