AI coding agents underperform in real repositories for reasons beyond model capability. In this hands-on workshop you learn a four-stage methodology (Scan, Report, Fix, Diff) to assess and improve “AI-Readiness”—a measurable property of codebases. You bring your own repo, receive a baseline score, a prioritized improvement roadmap, apply automated and manual fixes, then re-measure to quantify gains and integrate the audit into CI pipelines.