Julia holds immense promise for a composable package ecosystem. Potential obstacles to achieving this promise include missing methods for unanticipated types, unwitting type-piracy, poor performance due to inference failures, method ambiguities, and latency due to long compilation times and/or invalidation of previously-compiled code.

This workshop will tutor developers on the use of some recently-developed tools for detecting, diagnosing, and fixing such problems.

Package latency remains one of the chief complaints among Julia users. While recent improvements in Julia have reduced the problem, the opportunity for additional progress is large. In this talk I'll analyze latency from a package developer's standpoint, describing some of the factors that affect latency and how improvements in package design can reduce it. I will briefly exhibit tools that can help identify opportunities for improvement.