What's Your Approach to Handling AI-Generated Code in Production?

[sdcastillo]

With AI tools like GitHub Copilot, ChatGPT, and Claude becoming increasingly common in development workflows, I'm curious about how the community is handling this shift.

Questions I'd like to explore:

1. Code Review & Quality - How are you vetting AI-generated code? Are you treating it differently from human-written code in your review process?

2. Security & Dependencies - Have you encountered any security issues or unusual dependencies suggested by AI tools? What safeguards do you have in place?

3. Technical Debt - Does AI-generated code tend to create more technical debt down the road, or are the results generally solid?

4. Learning Impact - For junior developers, is using AI tools a help or a hindrance to their growth? How do you balance productivity with learning?

5. Licensing & Attribution - Are you concerned about licensing implications or do you have a policy on when/where AI can be used?

I'd love to hear about:

• Your team's policy (if you have one)
• Real examples from your codebase
• What's worked well and what hasn't
• Your predictions for how this will evolve

Let's discuss the practical realities of AI in software development!