Data Analysis and Coding with AI

Public lecture on using agentic AI in data analysis and coding, given June 3, 2026 to the Washington University in St. Louis Neuroscience community. The lecture aims to covers ground from the bare basics up to "intermediate" tips on using agentic AI effectively. Sequence: 0:00:00 - Intro to agentic AI ("vibe coding") 0:17:00 - Success stories and what you can do with agentic AI 0:21:23 - Risks and protecting yourself: key "devops" skills, version control & testing 0:34:15 - How agents work & understanding their limitations (context window, attention limits, usage limits, model choice, necessary tooling) 0:52:37 - Habits of effective agentic coders (effective mode use, benefits of planning, user customization, treat prompts like you would code, engineering workflows to tackle big projects) 1:00:39 - Audience questions Associated configuration repository holding skills, subagents, rules, and personal configuration: https://github.com/timholy/claude_config