Holly Cummins is a Senior Principal Software Engineer on the Red Hat Quarkus team and a Java Champion. Over her career, Holly has been a full-stack javascript developer, a build architect, a client-facing consultant, a JVM performance engineer, and an innovation leader. Holly has led projects to understand climate risks, count fish, help a blind athlete run ultra-marathons in the desert solo, and invent stories (although not at all the same time). She gets worked up about sustainability, technical empathy, extreme programming, the importance of proper testing, and automating all the things. You can find her at http://hollycummins.com, or follow her on socials at @holly_cummins(@hachyderm.io).
What is the happy path, for developers? It’s less boredom, and more play.
Developer satisfaction, developer joy, and business results are strongly correlated. And yet - many of our jobs are frustrating, filled with friction, and free of joy. What’s going on? How do we fix that? Is annoying waste inevitable? Can developer performance be tuned? Are productivity measurements helping or hurting us? How do we deal with fear at work? Will AI take our jobs? Finally, how can you persuade management to invest in boredom?
Holly is an expert on play at work, unwise automations, and polar bears. Trisha is an expert on performance tuning, tooling and productivity. Come to this talk to find out what these topics have in common.
What makes software efficient? Is it how quickly code executes, or is it how quickly developers can use it to solve problems? Quarkus makes both people and hardware more efficient. That’s cool, but how does it work? Usually, we expect to trade-off developer experience against runtime efficiency. In this session, Holly will dive into some of the technical underpinnings of Quarkus’s efficiency. She’ll give advice for those using or considering Quarkus - Do native binaries run fastest? Are verbose programs more efficient? She’ll also share general principles and transferrable discoveries from the engineering team, such as knowing what you’re optimising for, avoiding cache pollution, and how to be static-but-dynamic.
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