7 Techniques That Supercharged My Claude-Assisted Development

Taking an AI agent from demo to production requires solving six critical challenges: config and model governance, state and memory design, security boundaries, evaluation pipelines, and operational monitoring. Prototypes break in production due to state collisions, exposed secrets, unvalidated tool calls, and zero observability. This guide gives engineers a concrete architecture path — covering eval gates, async execution, guardrails, and incident response — to ship agents that hold up under real load.