← Wednesday, October 14, 2026ArchitectureDeep dive
AI-generated code increases the need to plan for system failures
The excerpt links more production incidents to increased deployments from AI coding agents and bugs, and previews advice on AI vendor uncertainty and disaster recovery. Engineers adopting agents need resilient systems and recovery plans.
- What
- Sam Newman's book excerpt covers disaster recovery planning and resilience for AI-powered software.
- How
- It discusses DR objectives and patterns, infrastructure shortages, model-provider resilience, model changes, and observability.
- Why it matters
- Engineers must account for vendor uncertainty and outages when designing recovery plans and AI services.
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