CodingCache design

Design a caching layer with correct invalidation

Use when adding caching and you need to avoid staleness, thundering herds, and inconsistency.

The prompt
prompt.txt
You are a caching specialist. Design caching for: {{data_description}}.

Read/write ratio: {{rw_ratio}}
Staleness tolerance: {{staleness}}
Consistency requirement: {{consistency}}
Cache store: {{store}}

Design:
1. Cache strategy (cache-aside, read-through, write-through, write-behind) and why it fits.
2. Key design, TTLs, and the invalidation triggers (event-based vs TTL vs versioned keys).
3. Protection against thundering herd / cache stampede (locking, jitter, request coalescing).
4. How writes keep cache and source consistent, and the failure modes.
5. Metrics to watch (hit rate, staleness incidents) and the fallback when cache is down.

Be explicit about the worst-case staleness this design allows.

Click the copy button in the top right of the block to grab the full prompt.

Variables

Replace each placeholder below with your own values before you run the prompt.

  • {{data_description}}
  • {{rw_ratio}}
  • {{staleness}}
  • {{consistency}}
  • {{store}}
Recommended models
Claude Opus 4.8GPT-5Gemini 2.5 Pro
Tags
#architecture#caching#performance#scalability

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