Menu

1 / 6

Reviewing AI-Generated Code: Check Boundaries Before Logic

DEV Community·Pablo Ifrán·6 months ago
#Q94cZWnz
#signal#ai#python#fullscreen#order
Reading 0:00
15s threshold

The code came back. It looks right. Do you ship it?

Post 2 gave you structured prompts that produce better AI output. But "better" isn't "perfect." Even a well-constrained prompt will occasionally slip a database call into an application service, or sneak a business rule into a route handler. You still have to review the diff.

Reviewing AI-generated code the same way you'd review a colleague's PR is slow, frustrating, and misses the real failures. Here's a workflow that's actually fast and checks the right things first.

Why Reviewing AI Code Is Different

When a colleague sends you a PR, you can ask them questions. You can understand their intent.

With AI output, you can't. The AI made decisions about where code lives, what it imports, how it structures logic based on pattern-matching from its context window. It had no architectural intent.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.