Blog author rebuilt their caching layer after realizing the dominant traffic is AI crawlers and retrieval systems, not human readers.
Key Takeaways
Cache architecture was re-evaluated with bot request patterns as the primary use case, not human latency reduction.
Author tracks crawler behavior via a dashboard to decide which agents to block or allow before further optimization.
The shift implies content infrastructure decisions (CDN placement, cache TTLs) should model retrieval system behavior, not browser UX.
Hacker News Comment Review
Commenters split on the strategic response: blocking AI crawlers outright in nginx vs. studying them first to improve index coverage and crawl freshness before blocking.
A real tension surfaced around newcomer reputation-building: if blog audiences are now bots, the traditional path of writing to gain human followers and freelance work breaks down.
Crawl speed matters beyond bandwidth cost – faster responses affect index depth, content freshness, and potentially ranking in AI retrieval systems.
Notable Comments
@rodw: Page load time shapes crawler revisit rate and index depth, making sub-200ms responses strategically relevant even with zero human readers.
