Chapter 09
Generated Code Changes the Job
Assume generated code that looks right can still be wrong in integration, security, privacy, permissions, and deployment behavior. Ask a different AI or review path to test code produced by the coding agent. Inspect AI-generated tests for shallow assertions and missing…
Apply this chapter
- Assume generated code that looks right can still be wrong in integration, security, privacy, permissions, and deployment behavior.
- Ask a different AI or review path to test code produced by the coding agent.
- Inspect AI-generated tests for shallow assertions and missing requirements.
- Execute meaningful behavior, integration, and security tests; static analysis helps but is not enough for arbitrary behavior.
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Concepts in this chapter
- 062The New AI Quality SkillsetThe future AI builder is a rubric designer, sampling strategist, AI judge operator, risk analyst, and statistical storyteller.
- 063AI-Generated Code That Looks Right but Is WrongAI-generated code often fails in a dangerous way: it looks clean, compiles, and still implements the wrong behavior.
- 064AI-Generated Code Integration and API MistakesAI coding tools are confident around APIs, libraries, and frameworks, even when the details are stale, invented, or incompatible with your…
- 065AI-Generated Code Security and Privacy IssuesAI-generated code can create security and privacy risks because it often chooses the easiest working pattern, not the safest production pattern.
- 066AI-Generated Code Maintainability and Architecture DebtAI-generated code can make fast progress while quietly increasing complexity, duplication, and long-term maintenance cost.
- 067AI-Generated Tests and the Illusion of CoverageAI-generated tests can raise coverage numbers while failing to catch the bugs that matter.
- 068Seeing Inside Models with Interpretability ToolsConfidence Engineers do not have to treat models as sealed boxes. Interpretability tools can reveal concepts, attention paths, neuron activity…
- 069Validation Is the Hard Part of AI-Generated CodeAI makes code generation cheap. It does not make the cost of proving that code safe, correct, and maintainable cheap.
- 070Halting, Gödel, and the Limits of Testing AI-Generated CodeSome limits are not tooling problems. They are built into computation, logic, and the difference between proof and evidence.
- 192Testing AI Review Loops with Coding AgentsA coding agent should not be the only judge of its own work. Use AI-assisted review loops to add fast, skeptical, evidence-oriented checking…