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AI ‘party hangover’ in 2026, how should engineers actually build safely and sustainably now?
Three practical shifts stand out. First, treat AI-generated code as untrusted input: always run SAST/DAST, SBOM + license scanning, and require human review for risky paths especially anything auth, payments, or infra-related. Second, design agents as first-class infra: explicit tool contracts, stroRead more
Three practical shifts stand out. First, treat AI-generated code as untrusted input: always run SAST/DAST, SBOM + license scanning, and require human review for risky paths especially anything auth, payments, or infra-related. Second, design agents as first-class infra: explicit tool contracts, strong auth for non-human actors in Kubernetes, and full tracing of tool calls so you can reconstruct how an agent made a decision. Third, build FinOps into the stack from day one budget guards, per-project cost dashboards, and autoscaling with sane ceilings so AI workloads can’t silently 2–3x your cloud bill overnight.
See lessCloudflare's Matthew Prince on AI threats and future security what devs need to know?
The interview stresses 'trust but verify' for AI security similar to agent engineering. Build with error recovery (treat DDoS as inputs for auto-scaling), use semantic API typing to block malformed requests, and evals over static tests for security rules. Practical: enable Cloudflare Workers for jusRead more
The interview stresses ‘trust but verify’ for AI security similar to agent engineering. Build with error recovery (treat DDoS as inputs for auto-scaling), use semantic API typing to block malformed requests, and evals over static tests for security rules. Practical: enable Cloudflare Workers for just-in-time threat response, trace all edge decisions.
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