Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.
Opinionated engineering notes for practical AI and software delivery. how mobile apps can use AI features without damaging UX or privacy
A practical checklist for building and reviewing the workflow. how streams, queues, and workflow engines coordinate systems
Regex needs examples and counterexamples.
How to measure quality, reliability, and operational readiness. how traces, spans, tool logs, and feedback loops expose system behavior
How to prepare the workflow for CI/CD and production operations. how to route work across specialized agents without losing control
The security and permission concerns that should be reviewed. how request logs, traces, and metrics expose production failures
How engineering, product, and operations teams should collaborate. how login, saved content, and user activity shape product loops
How the workflow changes as traffic, users, or data volume grows. how mobile apps can use AI features without damaging UX or privacy
A system-design view for planning production implementation. how streams, queues, and workflow engines coordinate systems
AI review is useful when it focuses on risks and missing tests.
The mistakes teams should identify before launch. how traces, spans, tool logs, and feedback loops expose system behavior
The security and permission concerns that should be reviewed. how to route work across specialized agents without losing control