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A practical guide to using AI coding tools without compromising your standards. AI coding assistants are everywhere now, promising to make us faster. But let's be honest: the code they generate? It's often... not great. It doesn't know your team's patterns, your architectural decisions, or why you do things the way you do. You're still the expert on your codebase, the AI just doesn't know it yet.

This talk cuts through the hype with a practical look at AI-assisted development. We'll cover what AI actually excels at (spoiler: it's great at the boring stuff), where it falls flat (architecture, domain logic, your team's idioms), and how to prompt it effectively so you get useful output instead of code that makes your teammates cry. Learn how to make AI your force multiplier for the repetitive work, so you can focus on the problems that actually need your brain.

Bio
Christine is a lifetime learner from Omaha, NE (in the middle of the USA), where she likes to read too much and eats food that probably took too long to prepare. Professionally she’s helping solve problems on the small but mighty team at SOFware. She loves working with Ruby and Rails, and attempting to get all devs to write longer Git commit messages.

Related topics

Events in Lincoln, NE
Artificial Intelligence
Artificial Intelligence Programming
Computer Programming
Software Development
Software Development Process

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