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A production-engineering view of LLM systems: guardrails, cost controls, tool safety, failure handling, and why the demo is the easy part.
How to design dependable internal APIs when upstream providers impose strict quotas and burst constraints.
Practical pipeline design for sustained ingestion load, predictable processing, and observability at every stage.
A reliability-oriented approach to Graph integrations: token lifecycle safety, permission boundaries, and workflow resilience.
How lightweight standards for APIs, observability, and deployments reduce delivery friction as teams grow.
Production AI, backend and platform engineering notes: architecture, reliability, DevOps, identity, and performance.
Incentives, inflation, productivity, markets, and economics around platforms and AI.
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Geopolitics, power projection, dependency chains, and policy implications of technology.
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Institutions, incentives, media behavior, and mass psychology in social systems.
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A production-engineering view of LLM systems: guardrails, cost controls, tool safety, failure handling, and why the demo is the easy part.
How to design dependable internal APIs when upstream providers impose strict quotas and burst constraints.
Practical pipeline design for sustained ingestion load, predictable processing, and observability at every stage.
A reliability-oriented approach to Graph integrations: token lifecycle safety, permission boundaries, and workflow resilience.
How lightweight standards for APIs, observability, and deployments reduce delivery friction as teams grow.
Pragmatic rollout strategies using health probes, canary slices, and rollback gates to keep SaaS releases stable.