DeepSeek For Code Review - AI Programming Buddy

DeepSeek For Reviewing Code. As a Programming Team Member. Good at making suggestions. But what about implementing the suggested code.
DeepSeek is tested on a C# utility class that generates random numbers
This AI model is given some code which is a random numbers utility
How good is DeepSeek at reviewing code and implementing changes? In this video, we put it to the test using a simple random number utility. The challenge? DeepSeek must:
✅ Explain the intent of the code
✅ Write documentation for methods
✅ Review the code and suggest improvements
✅ Generate updated code with the suggested changes
Step 1: Explaining Code Intent
The first task was to simply explain what the code does. And honestly, DeepSeek nailed this. It didn’t jump into recommendations or unnecessary modifications-it just gave a clear and concise explanation of the code’s purpose.
✅ Score: 10/10 - No complaints here. It was straightforward and accurate.
Step 2: Writing Documentation
Next, I asked DeepSeek to generate documentation for some of the methods. Now, this is a small class, so I expected this to be quick and efficient. However, I noticed that it took quite a bit of time to type out the summaries line by line.
Additionally, the server was often busy, which meant I had to deal with timeouts and delays. I get it-DeepSeek is a trending AI, and many people are using it, so the slow response time is somewhat understandable. But if we ignore the delays, the documentation it produced was solid.
✅ Score: 10/10 - Even though it was slow, the actual documentation was well-written and useful.
Performance Breakdown:
🔹 Code Intent Explanation: 10/10 - Clear and to the point, without unnecessary suggestions.
🔹 Documentation: 10/10 - Accurate but slow, taking longer than expected.
🔹 Code Review: 10/10 - Highlights important issues like thread safety and performance concerns.
🔹 Code Implementation: 6/10 - Struggles with coding conventions, removes key elements like regions, and sometimes deletes methods.
While DeepSeek excels in reviewing and analyzing code, its implementation falls short-especially for teams with strict coding standards. Watch the full breakdown to see it in action!
📢 What do you think of AI-powered code review? Let me know in the comments!
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