What happens when you hand over code generation to a language model? In this talk, we’ll share our hands-on experience building a full-stack internal tool for the retail industry using Claude Sonnet as an AI assistant.
We used it to write backend and frontend code, generate tests and documentation — and got our MVP done much faster. But it wasn’t all smooth sailing.
We’ll explore:
How we integrated Claude into our development workflow
What kinds of tasks it handled well — and where it struggled
Prompting techniques and team collaboration
Speed, productivity, and IP concerns along the way
Join us for a grounded look at AI-assisted software development, filled with real-world lessons, surprising moments, and questions every team should consider before doing the same.
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