Why AI-Generated Code Makes You Slower (And How to Fix Your Workflow)

Short summary

AI assistants feel fast initially but create subtle bugs through hallucinated APIs—parameters that look plausible but don't exist in the library, failing silently. The problem: pattern-matching beats correctness, type checkers miss invalid kwargs, and reviewers skip generated code. Fix it with tests-first workflow, exact version pins, narrow prompts, and pre-commit hooks.

• •AI pattern-matches API shapes instead of verifying actual parameters, causing silent failures
• •Workflow optimization: write tests first, pin exact library versions, use narrow prompts, enforce pre-commit hooks
• •Tested approach from 2 years production experience across multiple projects

Generated with AI, which can make mistakes.