
Backend architecture for AI products that last
The backend pieces that make AI products reliable: queues, permissions, state, audit logs, integrations, and cost controls.
Backend architecture, permissions, security, and production platform decisions behind durable AI and software systems.
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3 articles
Every article across AI, mobile, and backend engineering.
Practical notes on agentic AI workflows, human review, observability, and production automation that can survive real operations.
Architecture, performance, retention, and AI feature decisions for mobile apps that need to stay fast, useful, and maintainable.
Backend architecture, permissions, security, and production platform decisions behind durable AI and software systems.
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The backend pieces that make AI products reliable: queues, permissions, state, audit logs, integrations, and cost controls.

How to design least-privilege access, audit trails, and data boundaries for AI agents that can use tools.

The practical gap between an impressive AI prototype and a reliable production system that teams can operate.