Validating and Verifying LLM-Generated Code

Key Points:

• Implementing a structured manual code review process specifically for LLM output.
• Leveraging static analysis tools (linters, formatters like Black, ESLint, Prettier) to enforce code style and catch basic errors.
• Running and extending automatically generated tests (as shown in Tutorial 2.4).
• Using security scanning tools (SAST) on generated code snippets.
• Basic performance considerations and profiling generated code if necessary.
• Reusable Template: Code Review Checklist for LLM Output (Markdown template).
• Mapping output back to spec acceptance criteria
• Writing lightweight validation prompts
• Using checklists to catch missing functionality

Assets:

• Example configurations for linters/formatters.
• Callout (Inline Warning): “Warning: LLMs can confidently generate insecure code patterns. Security review is non-negotiable.”
• Callout (Inline Tip): “Tip: Integrate linting and formatting into a pre-commit hook to automate checks.”
• 📄 Mini flowchart: “Spec ➔ Code ➔ Review ➔ Confirm”