dailyai.report

Debugging GLM-5 at scale revealed critical bottlenecks in agent serving infrastructure. Engineers faced severe latency spikes and memory leaks when deploying autonomous coding workflows to production. These failures highlight a gap between model capability and stable deployment. Practitioners must prioritize robust orchestration over raw model scale to maintain reliability in agentic systems.