I've been wondering about the reliability of AI when it comes to reviewing my coding projects. Every time I work on a new project, I tend to ask an AI for a technical review to improve my skills. But are there any solid reasons why I shouldn't trust its feedback?
5 Answers
AI isn't able to think or reason in the way humans do; it just predicts what words to use based on past data. So while it can catch some common errors for newer coders, don’t rely on it blindly. You really have to be the one doing the critical review.
Spot reviews from AI can be tricky because they often miss the overall context of your code. For example, if you just copy-paste a function and ask if it's good, it'll likely give you a thumbs up without the full picture. But there are tools like Graphite that connect to your whole codebase for a better review.
AI can definitely assist with code reviews, but don’t forget that it can suggest changes that aren’t applicable to your specific situation. Always maintain your critical thinking; it’s still up to you to discern what feedback is worthwhile.
That's a good question! You have to consider that AI operates on statistical models rather than true understanding. It's more like asking a beginner to critique something complex. It might point out some obvious mistakes, but it lacks the depth of comprehension needed for a reliable review.
If you're just starting out, getting AI feedback can still be useful. Just make sure to ask very specific questions. Instead of saying "Can you review my code?", you could focus on particular sections or ask about potential bugs. Clear instructions help it provide more relevant feedback.
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