Generative AI hype might be receding a bit these days, and we can finally assess how the landscape is changing for hands-on programmers.
While some developers still worship AI and its power to develop entire features on a whim, others notice design flaws, persistence errors, mismatched legal reports, and outright delusional implementations! What shall we do about it?
In this talk, we will try to look beyond generating a portion of code. Can we keep maintaining generated code in the upcoming years? Can AI generate unit tests that won't turn out to be a white lie about our product's quality? Can a tool trained on myriads of lines of mediocre code still write quality code?
And we didn't even touch on the process of specifying precise requirements...
Those are the hard questions we will try to answer in this talk.

This talk is a 100% coding session using C# in VS Code with Claude Code and Codex.
This talk is the result of several years of experiments I ran and documented in a series of YouTube videos: https://youtube.com/playlist?list=PLSDYwLgFqaX4Ke4h0bVzgadqOesECqKj2
This session was presented at Developer Week 24 conference, Nuremberg (no link available).