I'm noticing a trend where developers, including myself, are merging AI-generated code into our projects without properly reviewing it first. This seems to be a common issue, and I'm looking for effective strategies to prevent this from happening. I think code reviews could be the solution, but I'm curious to know what strategies others have found to work.
5 Answers
Honestly, if you’re merging code you haven't thoroughly read, that’s a bigger issue! Take pride in your work—do you really want to incorporate code into your project that you don’t understand?
Exactly! Reading the code before merging is key to knowing what goes into your base.
At my workplace, every piece of code has to be developed and tested by the engineer, and then reviewed by a couple of peers. This ensures everyone knows what’s going in, and helps catch bad code regardless of the source.
That’s a solid approach! Peer review can really catch mistakes that one person might miss.
Remember, just because it’s AI-generated doesn’t mean you get a free pass. You should still understand and review what’s being merged—no exceptions!
Definitely! If you're not comfortable explaining the code, it shouldn't get merged.
I can’t trust any code that I haven’t personally reviewed. Everything generated by AI is just a suggestion to me, and I always rewrite it to fit my needs.
Exactly! Customizing the code to your specific use case is often the best way to ensure quality.
The best way to tackle this is during the code review stage. Always take time to review the changes before you commit. Rushing through code reviews can lead to merging sloppy code, whether it's AI-generated or not!
Totally agree! If you find yourself merging without a read-through, you might want to rethink your review process.
Right? It’s all about due diligence. Always know your code!