Your AI wrote the code. Now make it robust. Real patterns, real benchmarks, real production code — not tutorials, not theory.
Your AI generated a script with hardcoded paths and no way to interrupt it. Here's how to turn it into a proper CLI tool with arguments, config layering, and graceful shutdown.
Your AI wrote a for loop that calls an API 500 times sequentially. Here's how to parallelize it with asyncio and bounded concurrency for a 20x speedup.
Your AI built SQL queries with f-strings. It works fine in testing and is wide open to SQL injection in production. Here's how to fix it.
Your AI wrote a 200-line function that does everything. Here's how to decompose it into a testable, debuggable pipeline using the Single Responsibility Principle.
Your AI generated a utility module with no types, no tests, and no safety net. Here's how to add type annotations, static analysis, and pytest coverage.