[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODE5MTk","title","Static Analysis for AI-Generated Code","state","published","contactAuthorMethod","email","aboutText","

AI code generation has fundamentally changed the shape of software defects. Large language models produce code that looks correct but contains systematic failure modes: hallucinated APIs, prompt-induced vulnerabilities, architectural drift, and subtle logic errors that traditional testing cannot catch efficiently. This book teaches you how to build static analysis tools from first principles specifically designed to detect, diagnose, and defend against these AI-specific quality failures. You will learn compiler fundamentals, control flow and data flow analysis, taint tracking, symbolic execution, abstract interpretation, and rule engine design. Every chapter includes production-ready source code, architectural tradeoff discussions, and practical guidance for integrating analyzers into CI/CD pipelines and IDEs. By the end, you will understand not only how static analysis works but why each technique exists, when to use it, and how it applies to modern AI-assisted software development.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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