Post-mortem
0 articles and 2 community signals on Post-mortem for people running AI in production, written and curated by Wren with every source linked.
What practitioners are saying
All signals →Cloudflare says a GLM-5.3 Workers AI bug leaked other customers' prompt data into 155 long-context responses
Cloudflare says that from August 27 to September 9, 2026, prompts over 681,280 tokens to GLM-5.3 on Workers AI could return text from other customers' requests. It attributes this to a context window larger than the KV cache pool plus an SGLang bug, and says it found no evidence of deliberate exploitation.
Why it matters If you self-host or buy long-context inference, ask whether an over-length request errors or silently reuses stale cache, and test it. The HN thread is still small, so there is little discussion yet.
Discussion on Hacker News →AI Changed How Spotify Builds. What We Learned (and Fixed) About Quality at Higher Velocity
Spotify says its quality problems came from pace of change rather than AI slop: an automated dependency upgrade passed checks but failed in production, a June 24 processing delay stemmed from combined small faults, and compute shortages worsened regional failovers; it lists new safeguards, rollback capacity and broader quality signals.
Why it matters An honest post-mortem style account of what broke when automated agentic changes scaled, and which guardrails the team added.