Erik Bylund
Apollo GraphQL, Staff Solutions Architect
Every developer has the same instinct when working with AI: take over. Copy the output, fix it by hand, wonder why AI ""doesn't really work."" That instinct is the problem. When AI-generated code is wrong, the fix isn't editing the code — it's improving the instructions that produced it. This talk teaches that discipline using Agent Skills — open-format markdown workflows — and the GraphQL SDLC as working context. We'll build skills for schema design, resolvers, testing, and docs, developing intuition for when to refine instructions versus when you've hit a model limitation. You'll leave with transferable techniques, open-source GraphQL skills, and the beginnings of your own agentic intuition.
Join two transformative days of expert insights and innovation to shape the next decade of APIs!