The Force Won’t Save Your PR: Catch AI Slop Before It Ships

In this hands-on session, we’ll walk through the AI-assisted development loop, from choosing the right code generation harness for the job to running local AI code review before a pull request is ever opened.

We’ll look at real code. Real bugs. And real examples of what “AI slop” actually looks like in practice: the kind of issues that pass a quick scan but hide regressions, logic errors, and risky changes underneath.

What we’ll cover:

• The real impact of AI slop: how AI-generated code introduces subtle bugs, regressions, and quality gaps that reviewers miss.
• When to use which AI code generation harnesses and why it matters for code output.
• How to run local AI code review before the PR to catch issues early.
• Live analysis: we’ll scan a popular open source repo together and dig into the bugs Qodo surfaces

Bring your own code (public repo) or vote on which repo we analyze. Either way, you’ll leave with a practical shift-left workflow you can apply in real-time.