Choosing an AI Coding Workflow
AI is here, but deciding what to use and how is difficult. In this fast-paced session, we'll explore 15 key decisions for coding effectively in AI including IDEs, models, harnesses, instructions, permissions, agents, and more. You'll leave this session with a variety of ideas for how to rethink your AI-related tooling, patterns, and workflows.
Generating Quality Code with AI
"AI writes slop" is a common concern. So how can we use LLMs to not just generate good code, but to *ensure* quality? Let's explore how to create effective "guardrails" via generated tests, spec-driven development, instruction approaches, prompting techniques, context management, and more. After this session you'll have a list of ideas for improving your AI coding workflow.